{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 车辆检测\n",
    "## 主要的步骤如下：\n",
    "- 定义图像特征提取方法\n",
    "- 读入车辆和非车辆图像数据\n",
    "- 数据预处理，shuffle，标准化\n",
    "- 训练模型\n",
    "- 测试模型\n",
    "- 使用滑动窗口和多尺度的图像大小在图像上检测车辆\n",
    "- 检测视频中行驶的车辆\n",
    "\n",
    "> 问题：现在特征提取的速度特别慢。使用CNN对物体进行识别会提高不少效率。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.汽车和非汽车图片展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "汽车样本数量： 8792\n",
      "非汽车样本数量： 8968\n"
     ]
    },
    {
     "data": {
      "image/png": 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ER1juAmXG1FsGje1pgX4zA+1dyrYoADCA1+vSrKG+E/TRpUsDRS95YRAeT09f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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b44b7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "vehicle_lable = 1\n",
    "non_vehicle_label = 0\n",
    "\n",
    "# 读入数据\n",
    "vehicles_file_paths = glob.glob(\"./vehicles/*/*.png\")\n",
    "non_vehicles_file_paths = glob.glob(\"./non-vehicles/*/*.png\")\n",
    "print(\"汽车样本数量：\" , len(vehicles_file_paths))\n",
    "print(\"非汽车样本数量：\" , len(non_vehicles_file_paths))\n",
    "\n",
    "# 显示汽车和非汽车图片\n",
    "vehicle_img = mpimg.imread(vehicles_file_paths[0])\n",
    "non_vehicle_img = mpimg.imread(non_vehicles_file_paths[0])\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2 ,figsize=(8, 20))\n",
    "ax1.imshow(vehicle_img)\n",
    "ax1.set_title(\"vehicle\")\n",
    "ax2.imshow(non_vehicle_img)\n",
    "ax2.set_title(\"non_vehicle\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.下面的代码定义了一些图像特征提取的方法，包括HOG特征，空间特征，颜色直方图，最后把这些特征合并成一个特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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25dtrVHb2ccLjZMmSJT2fsf2NbcX8fulRIW5rtknynGWbYmTfBGJ7JfcHH4fk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a409390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.image as mpimg \n",
    "\n",
    "def convert_color(img, conv):\n",
    "    \"\"\"\n",
    "    颜色空间转换\n",
    "    \"\"\"\n",
    "    return cv2.cvtColor(img, conv)\n",
    "\n",
    "def get_hog_features(img, orient, pix_per_cell, cell_per_block, vis=False, feature_vec=True):\n",
    "    \"\"\"\n",
    "    提取图像的hog特征\n",
    "    \"\"\"\n",
    "    if vis == True:\n",
    "        features, hog_image = hog(img, orientations=orient, \n",
    "                                  pixels_per_cell=(pix_per_cell, pix_per_cell),\n",
    "                                  cells_per_block=(cell_per_block, cell_per_block),\n",
    "                                  block_norm= 'L2-Hys',\n",
    "                                  transform_sqrt=False, \n",
    "                                  visualise=vis, feature_vector=feature_vec)\n",
    "        return features, hog_image\n",
    "    else:\n",
    "        features = hog(img, orientations=orient, \n",
    "                       pixels_per_cell=(pix_per_cell, pix_per_cell),\n",
    "                       cells_per_block=(cell_per_block, cell_per_block),\n",
    "                       block_norm= 'L2-Hys',\n",
    "                       transform_sqrt=False, \n",
    "                       visualise=vis, feature_vector=feature_vec)\n",
    "        return features\n",
    "\n",
    "# 测试提取HOG特征\n",
    "vehicle_img = mpimg.imread(vehicles_file_paths[0])\n",
    "non_vehicle_img = mpimg.imread(non_vehicles_file_paths[0])\n",
    "v_hog_feats,v_hog_imgs = get_hog_features(vehicle_img[:, :, 0], 9, 8, 2, vis=True, feature_vec=False)\n",
    "n_hog_feats,n_hog_imgs = get_hog_features(non_vehicle_img[:, :, 0], 9, 8, 2, vis=True, feature_vec=False)\n",
    "\n",
    "# 显示汽车和非汽车图片\n",
    "vehicle_img = mpimg.imread(vehicles_file_paths[0])\n",
    "non_vehicle_img = mpimg.imread(non_vehicles_file_paths[0])\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2 ,figsize=(8, 20))\n",
    "ax1.imshow(v_hog_imgs, cmap=\"gray\")\n",
    "ax1.set_title(\"vehicle\")\n",
    "ax2.imshow(n_hog_imgs, cmap=\"gray\")\n",
    "ax2.set_title(\"non_vehicle\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def bin_spatial(img, size=(32, 32)):\n",
    "    \"\"\"\n",
    "    提取图像的空间特征\n",
    "    \"\"\"\n",
    "    color1 = cv2.resize(img[:,:,0], size).ravel()\n",
    "    color2 = cv2.resize(img[:,:,1], size).ravel()\n",
    "    color3 = cv2.resize(img[:,:,2], size).ravel()\n",
    "    return np.hstack((color1, color2, color3))\n",
    "\n",
    "def color_hist(img, nbins=32):\n",
    "    \"\"\"\n",
    "    颜色直方图\n",
    "    \"\"\"\n",
    "    channel1_hist = np.histogram(img[:,:,0], bins=nbins)\n",
    "    channel2_hist = np.histogram(img[:,:,1], bins=nbins)\n",
    "    channel3_hist = np.histogram(img[:,:,2], bins=nbins)\n",
    "    hist_features = np.concatenate((channel1_hist[0], channel2_hist[0], channel3_hist[0]))\n",
    "    return hist_features\n",
    "\n",
    "def extract_img_features(img):\n",
    "    \"\"\"\n",
    "    把之上的图像处理方法进行综合，且对结果进行归一化处理\n",
    "    \"\"\"\n",
    "    img = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)\n",
    "    hist_feature = color_hist(img)\n",
    "    spatial_feature = bin_spatial(img)\n",
    "    ch1 = img[:, :, 0]\n",
    "    ch2 = img[:, :, 1]\n",
    "    ch3 = img[:, :, 2]\n",
    "    ch1_hog_feature = get_hog_features(ch1, 9, 8, 2)\n",
    "    ch2_hog_feature = get_hog_features(ch2, 9, 8, 2)\n",
    "    ch3_hog_feature = get_hog_features(ch3, 9, 8, 2)\n",
    "    hog_features = np.hstack((ch1_hog_feature, ch2_hog_feature, ch3_hog_feature))\n",
    "    features = np.concatenate((hist_feature, spatial_feature, hog_features))\n",
    "    return features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 提取图像特征作为训练数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = []\n",
    "y = []\n",
    "for path in vehicles_file_paths:\n",
    "    img = mpimg.imread(path)\n",
    "    features = extract_img_features(img)\n",
    "    X.append(features)\n",
    "    y.append(vehicle_lable)\n",
    "\n",
    "for path in non_vehicles_file_paths:\n",
    "    img = mpimg.imread(path)\n",
    "    features = extract_img_features(img)\n",
    "    X.append(features)\n",
    "    y.append(non_vehicle_label)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.数据预处理 shuffle —> 分割训练集和测试集 —>标准化\n",
    "> 注意：数据标准化的时候，使用训练数据作为fit的对象。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage.feature import hog\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# shuffle\n",
    "X, y = shuffle(X, y)\n",
    "# split\n",
    "rand_state = np.random.randint(0, 100)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=rand_state)\n",
    "# scaller\n",
    "X_scaler = StandardScaler().fit(X_train)\n",
    "X_train = X_scaler.transform(X_train)\n",
    "X_test = X_scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,\n",
       "     intercept_scaling=1, loss='squared_hinge', max_iter=1000,\n",
       "     multi_class='ovr', penalty='l2', random_state=None, tol=0.0001,\n",
       "     verbose=0)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import LinearSVC\n",
    "\n",
    "svm = LinearSVC()\n",
    "svm.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.模型测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.986204954955\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "predicts = svm.predict(X_test)\n",
    "score = accuracy_score(predicts, y_test)\n",
    "print(\"在测试数据上的准确率为：\" + score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.使用滑动窗口查找图像上的汽车"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WoaKWAUygbt/zNJrIfZ4F8yFNOaLkPMF/8saKnN69WQtgKEVjjHLQxxxAxMwR+4205zoN\n0SA8uFasgVuGiee50ht9Md7n92aa73bvtv8qqWiiC/eNO80LgNIRcOlRFOcT2nMhyD6ty0EwJBDz\niUgiJMKAzIDjk9D1QbapJaA9coslaxitqxDbENnQrpTRbJnL1NfNZ1kbyf3MRF+SM9S/f9rfpRT0\nVf1a7HCIjZTdSrMIKrUIOXwKAA6EpkZhjTF202Y92oqACTLpTS2l2NBpvJU4LFUAgdcfm688rjwf\n2/nKVp0zCL+3965RYwyLWkvvZkbp/vkh04lnyKx4eD+cEbEM6Cqvg8KBmD53wYEk4J2RMM0CnWlW\nargYfDQ6YzrxeB6RWh5ukfKGTrYWtv/eDEp232uncbG/vxJDytzH8AXbfOTmka9ZODaav0+dGM/1\nwAMipVMTKB7F6tGcPr7ooxpFaLZezBwWZgjgmAhFUtS6UprkOqylrUU0CSenwcSYmQ/3Y25buthG\nQOc5GRa63zMQjGksXZWA3vsUmDbxOxf4RaHwNUVvRt+djlIfw5+W1jDWrA2lt1HaEza/nYCNq1yv\ncdpJBoHP97Q2iW8TaSAKYQSS/bDtuRBkAFT7SpZk1rBi4kUjgUTMfKUEZXyC9tyyfm6bdyXddM4Y\nPDAEojDXMa2sSY/ov1LLwaYGZqvHmxNuDpk+9v3TtDQfu+Ls9jdcoAOrCycfN5NBMKbx2z0iDaUs\nQVRZ8y6lABYROfVXBx79EBGUatYY6Zw4QQe8SEOg+7s4/Z6f5Ztj+5nPi69D1hpduPhmq1ym0GHX\nWDNFkMTST+OO75mHVWkh2PuLixBiRIRCjD3mMfhzmMdmzLTjY6gJXnOGX0tRbdQiAB0ezf105nOM\nHrapEkKYIF4uZYpUjXB6wJSUAaeyCRSGRbfR8XlyYZTHGXRL+mw2C8if0QKao+keAYbFIhJMLdPE\n9h2H835cOYprgBFVaVaj2DgpCcD8/KMWFw4V29yPrGiF0rEZh/+LvS5jjgePM9pxJIJnVIgcRXLU\nwQQRq1aJ1VJoYg/IUJiAGZ1wP7r0HhGFxa3qJOAdil+PrENYgtaXZi4aIvUBwp7pPta43nzGxeZV\njF7crZHn5FnacyPISikTiwjCS2Y4kxEiWxg6MUrCaPO9ecKz+etwA9vCsS12YQ8DVq0ia21BbBvC\nBGaNM28AFwQAJuGwFXJbqCE/85OsF+2PMS+M3KBGqg8oEasg69U0vgTvuFCGERCIgGbaXeERnaU3\nBDzD4ikLGlzARS0eEY2eU+tGmXL4CV0QJWtwrLkAkEnIZyHocxPRbmn+wgqwoIyASdmZz7xWrv03\nHnlbQxnZBNhsrEJ9rsYFZl+nt1KKCgDoHDpE6OOoxJPl5BYuyiGsRaTKEptw3VKBClVCOOxJo/EW\nHha9GFR9FJJN8wETIJEAe0R4BVzVhxWE9LysgK0kWDDvveEQmPuR94f3yRlzH2EPkxDwu33fEqDB\nDMzTPo93yBy1ym5VEIVw7cWg4bzmwLSHM9y1FVxb5h4ReGnPu0KR6anZvgvaIgILAYWH8r2xGiHq\nOmBgWErQ6N3WOgqn3Ezfvqlv8axEYyIaBl/LcBcUGuvtc36AGKXvprmQASW7sRAFDTwSOt1Por7g\nlQGqGoF8THH5pPbcCDIREyKWL8VUJ2IBAJBZUkygrlou0KdBb7V+AOGgZxqWBrpplYlAcxhqX5WZ\ndaa0QcamptYNtrDN2mXa0MyswRkAyPxcOWBkCEKKpEq9doaDMuGLEzGpP2/H5cA+KJkhKYXAw2CU\nESgkWBNM6trbgJAMPujJeiQCW6QRG5QGMVjIfTVlaK0iEv4I73utFes6QrA9AbWaleWQlFsjBWoF\nVSac2rNYgCpkzn7LtzM4ozFQupkFGNBJL3Y9EUoXLGCQZQVEeH2ZGbWIhJ+hG8Np0tVPqvGwGlkJ\nTeej3lUZIhqWFxB+RqeRwhwBLKpQHDJ2Z6SOFkBmYRp7QkTRgVLAVDQfyWiA64J9SqT2powjBS3R\nCNjo7jMyS859cAIxpKKMQANn6pb8XUpBgwQkv6XnLJQi+CEpdp5k7FaSBjcMuBJG95wH4jRdzNKR\noWC4kBKRyZLqiZ6FlJYhMqMwRNivq6EUNpai6Q1BI6K0Q6T01kQVQBHBUqsqKckSykqwzx/ZWneM\ne5jVj+YD3dEIImqmODbjQ74uDapAqHDW4DbGQA/CXwbdO+4nbWWM1/MZmVXArySaewu1EnPL7gen\nHYbS+I5Yo5v1sUov7GMFYG4bJ8lsMFTXZzbK/rO050SQJY3ZNk9bhz/Gv/McMs00B3KCUmaWkyme\nLZi0uULgyfgR8X1dJ9sntGCYvQ4JbFtDglss5LYEv9GNzsyAZcJnZrR1Em61feDQSlM4xh6RVaPN\nPZ9mnh97l7/nmNbJzojzta4ZEg28HrNlnO8PiAVieUYNoBkqC1ik9UA2qQu4FnQo4atvRIXHWPND\nhaD3rpCXWTDVmab5S7yfuY9DscI0DzFnUFqLqjDmt+sGyx1dQ4x3hUCQMU8ZmvRnb+fPrYksELK1\nAShTbSns/EBJ2uwDD0LIitiyLFhPzyMsPtbEvl/d31YKile/aT2KEeT5jJw3u04VA1PwTOnLgsPH\nnuctfCmYFUbAooIxN4b6I1dpYcnla3wsRAO+y0jKFJgxlgpdNN+TmSIi1OfrIlU5yZUzfM4P6MyE\nPmPA5WLEPqxV7aRC8wrdmaan/8yn6lGz8R4eEZZMFAoVEUf0YxQ06D0UCGDk8mU6g83fllbI+ueK\nZ3dFIkP1viYCcK2qlJjyml0Pebf8MLAi8NwIsiFofPJqHSWZBtxU7Oo5aifDUvv9PmCjoxbN5r7J\n/M7X+r3ew6ZQnGvI3si0i2NCI3xWQDA8AAdMg82y2zLALbyTm2qVo+/bew6sWRwy1wzX6ed0MD/5\n3t471nUdmwazYBKRsGrd0t1GMeW10ionI2iDBECC81g5BwAxK0PX3zeTeGh+7+BFUwsovS8HtPi8\nc2XsW9PIyFySZ0NLoXWKDKf8JqCoGaPLJcGk97AMCjE69YmBOoPbBpdM0GrvCY7UYAWHCZ3JhJVi\nEJYLiOzbzNZcHufW6s/06OOYcqFsPtZ1BVdVyK5YtQZpHWJVT06WHfb7PbAp1UZE4efzOYPlb/mc\n+M9mpZ+CBpwhCxSGXUdVnPCXJj9N6x2LBwxYQFKm8Twm37vFhF4zhMAFR1y78TPqc7SyR4cmRDeM\nMlBBa4kncFKMp3WHVhchKI8BFw2ND8uPIk9MWPu1NI1aFSJI07zDsVfn0l1iVmHxVAMZrg+fN9iY\nHUWAKXHeqiFZBFMmbd167xB7Rq1VkYjNXK3rGigRl6JjJAqhF0oShsBb22zEPEt7TgSZLsRSK2R/\nFhFLEyEkHwgzQ9g07G7M0hasLlpr0AUTgGAsTOpwrKVE1FPeNHUpQ5sBNJTdtMhlp1pikxaZ9gRE\nwp+IRJ6Itw5jRsxWFsmYckmZ9QbHrDLC5rPgPTpbSUvP/c/fbVu2Srea+njWYYj+0ftMlWVJWpyt\nTfGqAablxniAgLL8emaKAIVwSkOhOjZrTB3ZArKADmStvosi7wRloNBafaER+ny0DizJf0QAsUKl\nYvPuY81WDrfBDBRm4xAWSic6loWLQstQCIm5GuTHylS7oHDBmezBBq1Wg2taSiZ1One6ZbsXPq+k\naSKrYlnqFLd50ntpJOwmxWarwOW13NJStopL2n+OdgCI/eHr6nPtdR0FmCwaYAAGWUH1HDIxJinm\nKxN9uO6t7OdLycM+Z1P+oftTYX5vEM77HuSJ7RsG7fOtlozSToMm5+7XVXlIWB4aXOaWg1uV3aIK\nszW3VeBCKUv7EBiRh7tFk6/znverHNXzfFABsNLwLRHcUmshGAGHhxv2vWNZtA6krC2UG6cdZkaT\nYfk7EuEpDZUYfW2o5lZQ5Z7sHRV7c+10m4vcHKkoHsCycb8ACAQitysnJ1r27Yib6GntORFkSpRt\nXbGIoNQ6me1uYVWyHCcDXIs5hbdRgVun5JZhqxCiaQPkcPsoTko8NEnTLAsYzDNe7s0TIeNdpnm2\n1lDdqSqqsSvBMwoKqANLKdgnOOWpsNCR9/KG4RwTZlElhXneMEeE4JbYcttqlPm6iFbbKB/xziOw\nH5H6QkgQsGSzz7mYgGAKoQbWyCxVdjTU3gVmFi55bLVavcRkNbozvYYmO8M+mdG6v8Y3nUeFuRbO\n5pxeu9bwK6zJ5C4kBUDfr+r3KGplOczoRae9FNoKpX/pXRUpzCHMXbpCW3Uuwkqk8JszWiFVxLY0\n4Br31lrNc+Z7iJKv0d+h5c9GDlAENBQOn1FYg5iDmXw93Lr092QFNaMLQStEw3qwz5YEceWxOIxc\noUKdZIzRx5+Vtd406pZJ/ZVukbmA9OhQqjYeFyLG7DP9Z77jlnLQoecLJvvcLWwiGlBk3yim7nbB\nEG6rhgaAWS0bNsXRnwlYqkxh7FK6QaZvn8d1XbHbLTi9OMey22FdVxV8GMqkRzJ6X6P/rJGvXYYf\nclKMNj7QrFDl/MMtv/K+5hKAn9aeE0EmqFYpY0l4deGCUi06jrV0iRfWzYM/0MBJi8+GFVc2Fgws\niTjKyZQIuHBzGDAPXHJETVFiIlqCSgCWBknV+tmhENAQyKw+gVwOxhdxHwVdZ0Y6bWgZ46RU8Tpr\ngk8TSq65FUug9tQFYAibgX3PSitvmCFEIH222JrnA1kfCwgNrpEmP1sZ2rnDhENjF6AaszLvtFCH\nePxJEeuXnlJQmCB1BxJgZ3PfmlaCUSVFS1GBBN1PK4j5KaCIU/d+KuMJHx85g9JSS8J+nda38hqJ\nea0KsdKdkFY8IV1/AYDKRuMADBYCIWrOAQAKY+ku/CgsR8CYRVGrOapkmOPfNf5VLIJTbwjG58Lc\nlbEckBOKnUXsKi2oEPZyUZHb5ETHGmgDiBk5g1kBCMbHXADX5Hn2tWyZVzxD/5j2NKcgDu/33izb\nrcIaAtT6XGkowe5/d18dAPRK2HcdSzyvd601CIWASSEXdOMjxf4eomWGh6m7UCb/ElLmvZw6HQFF\neo/tFR9rcT/9QAIYNCETXMrItfPq80sBiZ4MooE7sJMhjC5FaaosFcKEK8tO+2vCw4UYgIBcJebI\nYhW4o68jAtyVrnVdUUtRfimWtgQMXyaNeITiyqrggP/92EGLhKEtSW+aKNnHYAaxdiht97jT88os\nGkOJ1rSqto4cFQBBNPFWQVSWdq2ym0nr1lXWLLs0+DEsTASmgrXvUXjBRXa8J/NbXyXoXY5qGNuN\neOi38t4eRvIEtJAFD2Yth0ABPvuRC0Tjs/yuY4STE8+3cMC27y67nbn6s6eXHRn3drwUVZxnyGsL\ni8pTnuX3hda9iUac47ie3gZcdehvzY1rgi37UBL8neEnSs/N33vLYeL5OheUgrQnmKbxjyQCbQUU\nkZg+B/GcJBDi/SbAl3Io8JDe45BaJMMm5nPUugvhnWDaUqZ5zPfl31cPAEnzEvc4dEkDUtzOWf77\naQqivzPPUa0VfW0BP7sl6rObk4G9dJRXoO+948Sq22/fE2vni9QTSiFAQ0cViiTuoBkZgi6vo7sx\nVHg2NBfUMMusyUix8b7Y0SsRkWlr4xZvxQgSQRnFEsCkECGQApUEdVnCTxnwaUJ/OB1/ldd8yu3j\nkfqU5+qHac+FIMtNo75GpFD2WWyDPNwhLr7awBRllXOhPk26MzM6tDDmbudh4sWemyxAs1hU2R5Q\nHafIqW0FgMwwnIgyDOHaF5sGEwwbiYljJCv788mqnOxbG/kxJqwJyhj7xrz3lmdjFLFNuW9taGHe\nHJ4kFoBmLVZ4MDrXgLMCkhlK+Mc2Wm2soeJLE4M8Ble27szFx4d4xxZCyT8VRtzOhEbCUrpHgUKJ\nMHRdyxRNx4TW1qkawaxoASLjLDN/pySaJhrXOpqADZ27JTqsZQFsj6j1q6tUzA8UNTjdWuM5GnQ7\nL9sWjKeUKAXl/ckpGvnaoSAAvl+UUXkwz2BcWbk49m6dt1nx2/a1pH0+KTcbpScYf0JctsqIJ/x6\nYA3SaQ9T8E96nwsjzWNViweMKCyg61UO3hX3i0TAi49N6wv6vbbWjpz4MxgRKUgeKAX3bQm6aL6i\nw6XdlOpIB2BjAAAgAElEQVSs9GzRrGL04xaxPksDYRQNU7ovUtTSTehQlxVMajUzCEKMCg7ao5Kt\n90Hb6C3iFGAngYTFLGL76NmF2fMhyIgsKpBNG5lhmy0jypFikBYV8SNizqw6IbEzhdSnkZ9xUHkT\nOLBcRjTXrO+SMRtnxiLzZmJmFBD2fW+a0y5pUbo5WxtHLoQ/ZbNZ/fvWGuoyNnUWgCSCRSkukqMB\nNVARwRF5qkdQQ8bxSylY2/lTNaHJakuWkYbxwghfIRAP791qYbkdszzSt9N8ZAaYr9e+HBNUn9y2\n/XILO6zpDbPfHg1Ta8V+vz/qd3ga09r2LTPcuA6YLJADqzw9QoAoQcaSQqbTO5WZKcQVTBoDdpvm\n0mFfGr9jswdzSLlvn23RYK3ioZaYeD1TfWuyqj4JOpoRCVfotnNKbYTpe3RwHH5rSAUEIEdW+hzI\nE88hTEfW+H5okDib0Cd+GCIJwkzPdH9rIxcMNoe2NoxDetjCozkPNHOemB3BlEs4015HKRrp6AKy\nktXZ9Pf2AbP6vs2KF4ARfEZqHcIRFme5iXaZLDlfXACOeY0+pzPSQqGH9sMT5p9OD8/WngtBRrAF\nJdIcHyBgFOBw8bNzmIXUkpDBANhMfZCZx4k4wjFMfDB52V+0daRPMAytgIxIJY0QwnRtT9dnWIQS\nRBCWxdomzW/LGDXSa7bwiIYDnMjzUQjG2XXExnh8MxyDcEKz6sOnRTTg2KyZruuqRWMx58oM4t0y\niafDcVvteNrcpNtsq2nPyoWNofXpmVmwbIXlJ22UeEf6LAtISRFXkd9laxN+iTxugy9HWR6Gc4Jt\nZFv09YjQmxg6JSYqhjg0q0hhEHphjpOic5vpPDHLmMtZwTkY/xFlQsfMEFlTlKJGs65Hgkk+Teg/\nrb/b/S8iWKjEOXlhbR1Z49ijOHKS96Yf0/c8aOyTgqsKcSjQ2YJWP7b1GwWgdlBC7HAuD5UxPeHj\ncP62+835BBGBm9fTBBy8zDO9nVtkQSISRRfiAN3tOjGNgsiwCFEdNFZTrvLzZxqeg34EgBQGY6aT\nbUrIp7XnQpBlIl0haH46GxBHiYBSCKttECUyZQB7GacJ9/Tcgs2kQv1I28rfgGo7hQsu2mraTML8\nyYQEgI4yQvrdIe2CoWl1gqjgbiCfarQE6QVt7ZDOlkxaUE4krECn9NAQC8OPUAjIBLq59hYEU2uF\nrFqYxnPddGM7IepGLsCoql5daLtABwqWWAu2s9S46TZQy9GY1aL+zFUaqLJZhMNvlX1ETrxBuImg\nt4I1BLRo6oIrG340h0IaSbskQq8F7LntfMictpZP7lNApeRV8TfFcp12TL0m0qPee9ck7V2pWrFF\nVds0Dq04qB8ADQ2971HKolYSPErR3mPPXvtc4zCUgFRyy8eiRxM1gGF0qvB2t8+69In2g4RHzwKt\n0HWb6dj3A6yv+n4C/ABVO19I63cS3I/IKAABCzmCYAqSpBy6sLjHfHsUaVEqRTiHgJjfUCaI0Elh\nZSKA1xEVXFLdzeArBFsTwoIUJWmegx4BZpleEdV/XKkWrzbUCH64rFZ0IUjkBZKdcq0w8woBUQN7\ngFQEvfQYv/CwBltk/x9HMnKbhF/h1HfDtEKvpUgjEgYIVmtSn4KWLNhOIyUkaJGc+HRedii2njXy\ny8AM9I66WPK6828iCGth5/Pz86iy1AmgWqZq/Lkay9bf+mntuRBkIItiW0fScGzC1mPjDS1oHF8f\nFhANBhpFbMkgkKShOqPtR4q/QhDwjog8FaLN2unWSvSw4Gz5HfMH+L2tNZTqlpD3cDAV1yjHVPGo\nJWhj37cW4ax+DlnW1hwv31q4ETqdNN2tZqiWn2q/DuFkRuH3ed99028jswCMk5ldqHmFbZgYsH4W\nhvpJyWFR0UMFUyg3kfspkqaeoLA8zmkucnBFn+vf5Xn4xI3EHBXkTf0e88JWjSGNv4BQS7WxeFUa\nnZCsnMXz4jUD4sv9d8UuByXF2lGyJNY2jWNrUeUxB3ju929of9ybrY+tL+84lKz7YFh8vk+n65pW\nwwf1qZ8+33kvKM14ZYqh1MJdDsxhhdBmPluTOPMt1tuKHbjLQlhLmdldEPEDbC/0fYUs51OAoj5q\nh/5Z9HT6DokUEZTZx6q/jnVqaJO7JPqclPfp883cujLU/f2EiF5VAaz7qXv0oNFJk3G+nhhSxHmO\nE12JCNgEmEdMApZegXSagCDWRcSiPgujSdcIyadYnvr5pwvvp7XnQ5AhHSNCFBDZFk7Im5Ctxlsn\nsiNKxgbJmLqHwgbvMMbpTM/D4R2KdKsirjsysQV2gF+qTJ2ZzjbD35uI6CnHxvjZwmHdYvJ+dzrO\nePXpBlmhw4uhuXWhv6d3pfnqBr3YJNsBhhpNSUbEa+K+Q0jBGLUeYR8zTMeiAROBpv4fg8sifwg9\nWUaq6KPJJNwATAnMwbRFncnufA7HOM/lb2LdibQkVgpS2W6oUorR4pzjFPczKXMyCzTOfhNBXYY1\nwPDSSy29S+EmsnV0ZWmCXjLtZosqMV2vQcmeVoJxTA6R5tl5OH2GxsL6Smsz1mtYFFrMeFT9d8oT\nmRUYpftj1VswfXYgYDcaYu89DpzUMwDd/zwrHXkdHKEgAsgi8Lx6TqZ7iL1TuqXC6H7jhFzEvCcf\nW+srSl10T5SiwQydsSNBkb2eUM4VnTvOLlZ0C3Bp1MEoYBAu9kpH3AWgY8qsituCkcPm1WwiQjEp\n7FtkwddSI747FoOV/TljnwDEHZUN+pNRJMKVDAARRp/bFGhl78zVYQKGRlamxn7z0xS2fCwXIdDx\npZy7pGA9a3tOBJk2ZkYR1kjgIwMJOMmER7VNCwzBY0/Kd2FrWilSYQvYh1XgV8VRBj9EC8aftFTl\ncTOuDXSFGEVgAdcARu02r2gPC5t1omFLR4BFSgbEg+DfB8JiO28Cd/SPoqq5nFf13JmkkRHZGKwo\nrLccGp1bBUBcsFIba8V5drXD3arvs0WzHQQ+JKs3W37+PbMeRuqaXDUfa2vNamUOy1VgTFvlD7aU\ndaDtZ03d1lDsOJwQgpgZphhUdMBwjHmCSE/dJYOXxP1lBGGg92YwTJomMoHQx4njUaHdLJJQYACQ\njKMxQEjVGGyclKLX+rDgAqokRFFrAOEryQnMSpoW2erJuxiWIpFVHklzT8xRnFmVl7GuzIzKqsaB\nCMQYvl9njikx263y+aRlq5XvwSWZQSpFq/XLHNG4Tk9EBGmrHjkCmJIiWGpRYWUCkCG4LRd49P5b\naKf3cevFV3Dn8Yorn3kd13dXcb5amTSMBOTKJYQ2J6pzj0UchSiaF+mLRaZguLUdgW09FSE2AeWW\nd9kVrBd77Eq1wItmfKyD6jIUeRYsdVGYr1TljgZn9rXFumera9DjgONFNsfuxPllRowuSDe08TSr\n0hUwI4MfWpg9F4KMoMLjcQWuXnScckpMDZiNAC+l4ky5K9NU4h5wSEmxPspiFt3N5If1WU0zEUuW\ndogpCR2/P23+qIJvwsRPORXpKDSYhpbXmqMM83NdkNovZvXAEi67VkgwYRo/DXrsZNUZiFPVAsfo\nO0gOLY02OXOtijZ53b4e2DfbtGVnv2/s8JMYkyjFaquRj5lCZyCGVpgHWYX4EQruBZ+Z9QRgkTHb\nxdayJ+u4BEzUzTLUa5vl/dWUpwLRCE4yrd8TXwvNhU6XKClkjLA3SEcEStQyr13WEtmUEC3TZYyw\nq7XVm/ovYeuXI0OdWYloibR1VcEoRCp4uRpMswkwogIUTMFBamG0KSiJmSEdcRCjPSQYTI3q6jPU\nmBsRoYiMwr/u5rPn53qhOh+H2rNIC59fWKwCUB0WRuG52oRgaPGu8Ix5FzDXaR1UuKn1pgqgKjQt\n5UyVwlaZn+Mdqq7O1XMAQJarVgVkhcblEPiCIPUCnQi7UnBy9hB3vvHreP+b/xJnd3+AGy++hsf9\nBFdf/ll85S/8x+Art3F+9gi1XENfOtZVsNvtLJFZg8OKT5PR7Bq+MVXoWmtB4z43C1GcFeZtn+gx\nC5IRfEUgKqqU1CX2BqD7slt+LRGFYHeBSZqCG75GMQQnK5O+1Z0xigyaY1e+oOPqTVBJnZHS535n\nZR+SKv2bcoQNfX5Sey4EWSdg3/c4kR32xc1d/1YA4ah7CCAWWgMVLLrGS/0Uy4HC0CCHECEz8ckU\nt020HCMgIyQLz7eX53LkcizB5Iz39T4sQEkh/ltIZstERLK9I9N9+SMWRAXwCXpK7WmaTDCxPuRo\nFtR+jWvKW98eJUgi3kMKC/TVk34PmaP/1HU1bdhqCOYWPgJYyjKP6LftUHXzzuXIslXu49rORV6z\nDK1l7Vg2jCJ/HvcmpuvQYiR5EuI8sMlqMyGrQR0U/c0b298Vka2QOGgwP8t9r26peStWRzRbtVkj\nPoCcj8A+fkhjnjkfX4OefxPQV5qrHMwRc5dKzeUxHEDRMe7xvQs2/z1XXm99td/tVAmzKn1MYM1N\n8oLGEXG7GatGNK6mNJqPRwgX1FF7URhXLnBSHuDuu9/Fev4Ajx/chWCHc5zg+o0L7PqKIud4eOdt\n7AV44bXXUes1nK4rylLt+CLlO5mWJ9qQI5aiQ3WJRrbKSNCANJsPjaIUIAoEH1NYKNFZzEMdz81K\nC5PtxX3TCOo+w4dBN6yVSaZnbsp25bFkOvDvPcLU6ehZ23MhyFgEbQGuNqAXh9zSNiIvnSQQGZvR\nCdmjAgUtrKoRkwNA9Gwgmc4uO0wQ9XchLAKehJm3nOuTj+/ITZIV4/fH4m3GT+ZoKTie3qbXlOhz\ndQsHzgDzdTNjICIUiNVDa/Z+gzMFViHiCAPNPo70bDtqaLxPgI4Wlop2Rqb3+3Ven883XK6LCCR/\nInvERCL+ZFHq3JLVv1Pmt61lJ86U2OdVxiKqOQXCOC6Ii2ukrsiMd7pl2LvESbbeVLEY86ORYmPj\nbpmUz4tf78JbRCs1+OkNvXetGOLHe9g9TmvEwxc4BMUsqLQTNDOEpBO4cAjmj1npi6oTSah36co1\nXLFKCo9fk09HGLiK+UpsDXsflXQmWNn8Q3nvdE8NkBYnsy9cAEvCB5P6VSXNvYyanT7/2cqMsTYB\nW5SpsJ4X2NcVqAtKW7Gs53jy8XfxuVf3uEJnWKlhf34GrA03blxFe/II13mPew++jbd/7x9g//AB\nXv3iT+GL/85fRLvyAlovaNww4vOSAmFl73xdfA7WBFPHHCRojvN+hYDMx86Wl+ULnMvLTTRBiFSF\nde88oYMoiwPjHdXWps11LWn7TCAO/CQ/99GVVoOLs0LV1sMDhUEaQ6A0nAL+nqE9F4KsdKDuFuz3\nwEkjXFQKa2lO3E0aGhNIrDaZqAW3FxUEFZo90WVsnKUwukkJZUarWWwcArFRj40EEIglonIADG2R\nhnau91rX3Dcn5oQ+MlbpI9ouPkNDBG4IY9QB1KZanDu/jcELDLyz7+DTMweKZG12vE/iOYBl87vv\nJ2nYwNhckwZtA6ukVSVGnTez9Jy5YCZ2PylAmUufIAnril1vpYHyNLjxQzTRBZFCe5Gg69eZ4PRq\nV9WO6VAfmQSTdi3UE0XtJdGfrZXULFjH5xetW9AFoVOP28ngzNzv7nRpH/beQFavkwhA9+g30SAW\nCEplU0JSxX2iYOJuWXo6iQrjTYCQbHyQZV5fhd0GNaxd/YweTMJRI1PixANlovr7NombIVHfVIW/\nPt/n2hUDnyxmD3qS4Rc7Ap/13lNknypjgNWeJFL5anOUz3LLDNODIJyoCgiNKwCGhmmsuLrsUNcL\n3JC38f2v/9949zt/hPXlF/D48V185+3v4+atl7GnBWcPTvHw3T/Az334Ffzu7/6fOLv7NnZccPr9\ne3jr4hR/9hf+MvZXX0aTnVUNch/SqJd6DD1ZyH1j6SSGHJy0sei8EakrIFJsCk3fqfAEIBiH/BaG\nRs961KXxhZrqRhIBxCi+ppTnMNNZt5QmiWOSmEaEL3UZdTiL005SWFoPVwIdPv4T26cG6xPR3yKi\nD4joX6bPXiKi3yCib9jPF9N3/x0RfZOIvk5Ef/lZOrEvwNXO6KwFSm26AKQjCDKsE5ugqzbiECGK\nwpA0zFpittp93ZztooLDNNWGZsEVZuWRw0gNYekRAD4kuBkSGkJMfx9h4sfuyY2pmrCutulK/BPR\nY0FG5Wl3hNvrEqN1qAeb73wu/V/k/CSGtyWcmO8pP2UDx4kchGkT0XRPfGaCxXvDzEev2z6rEEVF\nBJ/rbElsW6aRkkp+AcPXUwnxr0BL9Dytbcec2ygOjclKA6CaPwmo0vg9jTOnEXi/Rhg5HTyrVEap\n7Olb03O8hBaxRsL6Ty6kIe1e+Lew/sMMlQIq6It5lFEYZbdM/r0tREWqMkO3nOi5azqhwbRmpWhL\nfxJzz9LB0qd1yDCbX+PXlxC8KXWEMO3TmN9qCob1NfqOIeAZBHRBkY4r1HDST4F7f4QP/vAf4ezd\nr+GmPMDdd7+BiobPvvoZfPjhh2aVdHz21dv4B3//13ADD3Ct7CG94eL0Azy5+1388//nN3CdTTnW\n4x3mPXFEYZ1pZN4Xx2hw2xw1UeREBRCsWhLokCfFPBOQUSpfI9+7WS2nLnEumeanUvyu9aoGzzwG\nDz6NJzLbgbcGnvAzjDfG8QzX/E8A/srms78B4DdF5E0Av2l/g4j+LQC/BOBn7J7/kYgKPq0R4VwI\n1+QCYKBIiYGINIg01MoQGkWD3Upq1NBZ9DtqKGQaW+Eg7uKOdzvSYFcqCgoq6c+TusRiAKPaM4lu\nUiI132MjujVkQk6qnVNFALGAuFmYg/mhmDXpkgmtrNp/0uTRojvfqlkchosPc1xM4+9hpjPZBpFV\neVTW8pgUoqOKjoJVNOijgbCSOoM7ZaE7likz1XzwqJ7npmkSTQAhRiNKAQ6uaVL8I6uFKaTHrJcO\n1Cb6U2gaa7QuFoDWsVJHY608Hkde2DEo3AkWkBab1zdRMDUem9IFT1MQevp3VChamaWpKHPzfzIs\nTyGgzcpAhhO5Fu1HEjBcFLZh077dwi5dEQpugunkBR2xBgWsCca2/rVAJkqcx5Xz9pbCQG9GxzON\n5b9VAYDCV130iJr0HHT9XFo35UTpjEoJUeXzFtZE0zJyIqaIcUHnEntmzL/SD7n1zCNgZ9vPHuNu\ntp9meDMUBJs5dEEVwkm/ikUYjAswNdSup8EXWlFZUHvD1fYu3v/ar+Oj7/xz4OIxHj24h/fefRuy\nv8Cd997Fz//cz+LalYpXX76B2zcaXrpBOHtyjrVXPHnyCI8enuL83n28eoVxDWfg3rAQo0hBlQ4m\ngdgRTr5Wifh1r3cNPAkoO9M1xrwBzoscZdF/zAq3FREUEXDvKBu0RdGMhtI7qsGHmX71PV2r3Odj\nOzAUhRXACqCz8oLhh1frfSGOgz+dJtFlUq40CVtv8+okxPwJ6uVh+1RoUUT+LyJ6Y/PxXwPwF+33\n/xnAPwTw39rnf1tEzgF8m4i+CeAXAPy/n/IS9LUZHCHA5qC3HHbreHwppj9aXoRDN65BTKGhBp5o\nrpgGLCAtaJyG20Wxdzj8YdE2WVOMZyJ8KQVAc+KwTQMiiG0ut9d0Yys0REBwPj+oEwDQR99zGzBJ\nIkJiELrCMc2ELLMJFo+sU3irlkVBLUcm+vxc/31YmHMjc6g7PFJJc1/i1GwcalGzQ98gB5oZk18+\nb7D03k+gZtWKDTuk+Z3T+4G0XocWsV58qCnmVw8oaI60BAy2NB/sGC+m34/Nqb7DkpsxtEqCCgKL\nPQq/XwiGZCH6/Oi5Wa4KUay1D8KDHYDhb5n6mroXUZZ2xIYzTFciFL47ogMnOshzAxNMk6tu68sT\ntw70s4pxXMh2LonmyvyxNza5SLnZSWToZa9zJKq81nWPKnuABa13nMhjvPNH/xz3Pv4I7dEDULvA\n/YcPsNudqLXAgm+99U08eXyOk5OreP2zn8faztD6GXa7HV599VXcu/MR3n/v+7j12hv4u7/2v+I/\n/E9/GfsOcF0UToYVGU52RJxPl/aD+z21FqvDjA3Q+il6ykRyL+T50GsP5y7/XYDp3omuNnyAiCa/\n6Ph8wLQEK/BAbJHRFu0aUeEpQtLv8j2alcDQg5/dIvuT+sheE5F37ff3ALxmv38ewD9J171tnx00\nIvoVAL8CALdefhXLotUjAEbpK6qFjXYate32thlFBE3Ww+PYoZJcNW/D202oePmhzFgyDBUBBBgE\nREibghABBQHnZYYbGr8EX41CrmHVkJr40oCNoRpjYS8uKhPDaV2wZT46Nwa9sART11gJY/BpHGBG\nPh8sN4UmNeDAI5Y8X0r/17DUimYauoefM3hiKk282JF/dkiMGW7yyv8T8/eAHiD8TgCmKhi29eLg\nSm0jDYJoROSNoAXzE5VB9iNQwTyFWyHrJzknOhAfg4Xdi41Z3EKRLW3MwuzAArXXbFNmPThm7peE\nA16DazAl04cX1Qr7ucOcuMYJy9vIvS09DCamgU86JNsTmyAEOnYvRmJyVIBPq6T7WoC+LYmbniPj\nWsEc7KBMdURkhgCQQyGm9D5mtuEczBW7BlyXB7j73X+Kex+8h7K7idf/zE/jytWG99/6Z/j4/R/g\n+iJ49PA+bt56ASKC/f4cn/vcZ3H16lXc+eAj3Lp1C8RAawUffPgQfT1Bu9jrsSdd8O5bf4iXv/DT\nuHr6IWj3Kk6J0YpbJj1qL5Ipw1061g3djBM4AIdSfTaLGObzFIaf52G7xoMWBZyDc0RA5O8cRQF6\n71E1aH6Hq+kACOBewMSotaA1rZqbk/OZ7TBkUwbXjBD4KAkAZNpDn9b+lYM9RERoC/Y+232/CuBX\nAeD1N35KWt9rQqhI4Pj7niwzIE4u7YBOmpurWansEsmw+QBBYGzQrXntP4tbUx4+CtOU7BlMCkuK\nCPZpE5JoJCGsX/5OEUHlYkfCeDBHh9eoG3CKh+XaKcBuYPBIiN7a2e6kz34FspM+Yzk8FYDjpqHB\nYRaMyhRX9L7afDojIzsbkZKlaAoHvH+DyQcUGhafMvhDjVAtm6hYDiTLG9hbOP8oN1ZibolG9Rcy\ny9fLNm3nKSL8iEIZWFMKQfij+vF+htWcj6VhD67hSD4GAOGRXL5uSi0ds8x8HM6IiRheeURn3HLU\neLbGpuda3xSFsGcaHZEfgimDQbFodfZtX5xeeakhqCFDeOaIs3xvjiwLf4tjIEQagJJC/31N2J36\n07gQlkeHoLIlPdMI4x7rw1PwFdEQ5lMkJNl5coDB+Yy6Cm6Vc3zv9/8h7n7nd3Dx6Amo3sT+yUf4\n+b/wczg9fYyXX34JF48+QmsN67riZNnh7OwcV68W3LnzMV5+5TNoreHiYo/T08d48vgMt2/fxtnZ\nGc7O9/iJL72B1z7zRdx9+BD/+Df+N3zhZ34RL77xVQhdN6iwjFPAyRwRBDDlykCiR/6wzPvIwt8n\nxGBDYwSt8xgoVt474oiTzqN/TkToTenOYfzJJ52EzrCkZqWo0GwAiPEHNiuri9cP4gP66UMeBg08\na/uTCrL3ieh1EXmXiF4H8IF9/g6AL6brvmCffWITMEAFVY+Wg8g+/FT5GIXe/IwwbUQapVPMPM6Z\nWJQrKmw0k2PQA2A+Ck+WBeww3MHAnekc9F9G1BfIMG3SahzbsPzBiDgWuaNrYjepfyGKH2+1UGBY\nV1C4RMvKNPhprD0qnVjkmzD8zCsVVmEejki4pC1lQc+shY8lv5eU0J1JigBc3KLLYfs+14wxZUOz\njG7YJtVSR6uGv3egRgkrn+MsZDQnaykm+N0aIVVxVcgjou4AijnXcc1CYbs2LiDHvBGEnQk3EDTZ\ntGJDW8Zg8vMOwtq3P3sDuKhlCwGYwtc5+iYH92oRBKWVZtfFevUeRXS9qLYriS6YtoLRhUJPsCGZ\n/3Yw0RJWY7ZKvQXsb7Bm7ApOFmOOnkwnUKjwqel3xkoO69t6GD/Q99o8hFVDYZE5SsPMWKWjOLsU\nAKWD2x4n/SEefPgtPLj3EZ6cP8HF+T3cOD/HL/7iT+P29av46MOPsIPghZdeQN1dBdY9Ls72WPfA\n48en2J3cxm53Bbdv38DFxR69Azeu3wIzY3flGtZ2ig/vfA8nV2/hzvtv4+VXX8G9h/fx03/+F7Hy\nVUtqZks3ym1O/C7sSsBQdH18Uc+RZr4UPANPoTmYrp54odIUhfUaVXESbeVw/oG3jD0GIAooqCLj\nRc5xcN804liz+fONW+4T27MEexxrvw7gl+33Xwbwv6fPf4mITojoywDeBPDbn/o0KrhCqj1VaGju\nMWcfa3Vd/aMrlJiT7ApGxfo4VNA0hFy3rBoDKMwjDBgAWIsRdwsSKH4dzDIg/V5EIsprm+sgIpoE\nKsqMmQhLrQbyaXi4mNVBFqVAFtFUDAoqBhfFO0RTCioElKO/rNxV5RLBJ6CCrodKmU3V7EgGCv+e\nMgVBIcFSCAsB3Ec+kkdsirTpvpgmBsDujJfo267USfCyQZmlAMIjcqwTtFp3nXOYtlFtIupPYKtq\nQiqXtaQTCfZt1TiLrr7BRkAjhiQr1yFnhqCSRr7V3rGIoE4KjTJMdsc0EYrBxZWAatcvZYdCjJNS\nQQys1LGSYI8OIYOF0UBWxZqpaEAHGFXmf9xg9CVgC8XxckpdGjzSkWVE1pF49K1p0NRjHTSCF1gK\n0PsegFaFdyHGUZ7M4bgx9xHZhw70piH00sYBieLG6Sb6kBtAqwY4cQMXrZpDVOzU4BEtzClloHej\ndxKQNCyVNVjLgrk0jkcFO5UKogLqOhdoCjNXISydNGCjjWoVHkXZLUpwJUFjhcfRCwhP8K2v/zae\nPLyDz7z2Wbz8ypdwetFwcm3BW3/8B7hxfcG73/8OAOD89AmunxQ8fPQIL7/6Em7euo5Hjx6DyxV0\n2uEHHz5CPbmJL37pDTw52+Phkz32a8eta1dw+4Xr+Ma3fg/l/D1861/8Jk6/89u4+ujb2J0/wHVT\nhCZFo+YAACAASURBVBhF948QtEhc0f0vqljvuIC7gNGBvqIyUETD6B2FEAz/lge3FGIUWePfUgSM\nFYwVUizvtQtqRzpYt6EWAWFF7V3/GeoTh3hmxVoYnVc0NFP6BFJVAekE9KL/qPjucgSBRgAIjeCt\nIn36xz8E0PepFhkR/S/QwI5XiOhtAP89gP8BwN8hov8CwHcB/GcAICJfI6K/A+APoMEs/6VsPbaf\n/j4l9COWUzZ187WATVIfWkfJYcNIm9EEk1fPn8ru8GGlA63moVFSoR970qx9UJKTdHs8fDwnRfOU\nUqZ3iMM/RBZ9qf4a0NCIqokwkPoXMkOYrKg0B1pVe2ivDSN/x20dPzgPMLihEGpdAg7dzoeugVl8\nomh9BOKggbr5BmHwTrNzs3o7gKYcXtrCRlurmVXqQ1MRCPv9fsqLG/2TYJjZAvC6lMRiSoQ+K9bQ\nIB0XliPps0BoFEltUKYLAL1vQqUFAcu6dUxlaMpKe2uMjyzqlARAskzcYT6s4zHvCjnpcT8jAX30\nw090EBGg2pytelhqJFmThhooLC+BWIhFrC3LsklS1gny2pwZ7sla/2TNO1xqnzOp1Rw5lxCrN2rH\nEHE6sLOvKFVLme3qDherHk5LplAAAw0GNK9s7CcVmJUXrIY2REksgcYIlgugn+Pd976H89Mz7G7e\nwpXdOX7qzTfx7nt3cOXKNdSl4Of/3M/i5tUT3Lv7EU5PT/GZV18BFcayFHz1q2/iM6+/jrv3n+De\n/Yf4wk+8jof37+HuvY9xei5479tv4Stf/jLufectfOXNL2HHhJOTHU5OzvDWP/27ePXL/wFuvfJl\nyLUX0FCBZQGT5l0Vq7mqfGoIfq/Or8NWSV7JSrElOmDySOd1RDFXnd9CHkCjIY3cAVhumXrYR/WR\nUAQJwYsjb9WoQkggTS0viD7BUa0oi8cMkg6uup96ygMUty7tiXOO3w/XniVq8a8/5av/5CnX/00A\nf/NP1Btr5FjGpm3NaBHV2CQV0/T7BYMhbm1WSUIsM8scGRmh0zD4wg1BW6xtfwvU9xK1Af3d21b4\nwAxWP5yV1SKCu/2L+w0AUFNna2NYxBe0hmCCifqk9wxBr5pwh9oqBpHZe2MMAnRpEdnmP2M+05w7\nXCDQqDSvgE5QqLCS5r5dXFxY+RwN2V/KwMyJAEbHGjDTqJLCldDXmTmKXSOtYVdU0OccMSK1XJsp\nHqPPPaJHtXyPWiIwv0mxQi5bf1HO85Le0bVqM7wiu47Z6SdFE/oyw6q4J+VrG1U3FCiBq3skwK4u\naG2vSEJrVlTXIWyD0HpTpYS8OohGsg1Fg9DbqCo/QW4wX5SH5aQaeN63qOIvAGBJzYRAPAQSvpot\nnfSm1Um8cICOq5k1WVJ0nPls01yAtY4nNd2flQuYTeHsgt1SNMLZLUWrRtGM/mop6NL0OBIah24W\ng7sKLWBa8Oabb+K9fhfvfP+7uHbrNpiv4eWXXsX+ouGFF14A2iO08ye4fv067n38AxAVLCcV165d\nw27H+OjOB1iW6/jqV38G73/0MV797J/Bk31BWW7gc5/5PO5++DY+9/prqFjxk1/+EuoiePDRfZyd\nP8DHb/1jvP/t38fNN/4cXv2z/zZOxeMB1HpGUYSl91VpiK1uqdGbnmvYAwb0IDWlrXF4a6Yz9/E2\nQAULs1pKTNCj3QTN1qJUAlaDrG39yfafQp9DqHo5qRZuimoCmbVCiYz1FayAoWgEKFxv/NkD9dSd\nMPjys7bnorIH4E75ZKUkrfyYhp61+7iHh9XlfpC4Jl0bzC4xHhZEbornDhERqMn0jkJJ0OU+GByo\nOg3CqsyHNeaxMYYfKHwWplGaMRZH2YfGYjjyCq2C7v3w2nr+Xh0QQcQCN5LW7o0hZoG2EEpMMI2p\nmW+NglFlCNAjlQiuja1aENdqhHhzYUhEqAtpblRaG7VOfQOOivpEBCoaERmaemzQob0TmRPbNsN0\noCVU+2cu8CrtcQROgARs2j1bYRWBH/HBPCJFybRfUPJ5StMSQzq96uubfA4M6t0OPFTLnqQOpi36\nmcAsDou1dxjHIetaVfHpJrj0+JKKJquOVEaViOKE6JGUVNG6+y/9tAICyWpO+o5uIdLFo/tcnoRf\nygIATNAVRrKsTDlIyIGa2JwizrrPtM4JDYboP3uqxxg/DUIjFKx9VSFUrKgzM1ZlyXDV0vMqRTqk\nt7Asm6S8zyLAnlF6xeuvfQ439m/go3e+h8ePTnH9xhXcv/cQX/ri5/Fbv/V7uHaVcff+GU6fPMHd\ne/ewdsLnb76Oi7NzPDk7h+AaLvYNy9WbeOml1/HZL30Vd+6f4/Ovvoyv/4vfwu1bL+LKTgC5wP27\nd9GkA+seRIKFPsL+7C4+/jbwygu3ce3Fn0Db3cR5Z6z93Kx/g52LT6qjDRQKPAnCkiNyJdwUGyYQ\nrPaieRpBQHGWL8O21rADq8RRHJmBBR4BjkVlv77ur7G3yPYbpGl+awF47VET1NfVC0ZrZGs3hMgV\nY0vGFMy8+xna8yHIyOAlKCQkkKPFUGdmOhyaI7yapkP7QvCZMBITUlmsRCHSZLhl7TQLEkVFDiO4\n8j0MDx9VX9jBYhjU530sGAm3IgaFmSbPFp7ZaS4D5Im9Ys/WChY2Rg9KSJF5cZREGQnOPgm50rt/\nqAECWnk9z2c4mfsKPRl4wchvUYxdWYsKC33/CDoIp3yar+ibPTsfLijokTDcAIMeelQ9F3s2F7VM\nPdReq9gnq4cLNOVBBXOAGaJjJAFaBDggICmxqNGaIk4j2EE8mlAVgDAomOFH7Qhk4PyEYB5ceCgw\nGPRILKCeLEFL9nWGDbDtA8BPSMjHx4AHzKRWaQGgBQXACJ8RCxt8VfSQWhwGMU3wOqkWXgy+Oxa+\n731WWBRwAeaQvhVC1DGbFeUQpB8vo4rTrIgAa8wvk6IRcVCsow80Q6yFBYQ9IA0nIJRagk7L7gku\nPn4P/+Sf/R94ZXeOGzdu4NGTgqtXr+Ov/vv/Hn7/938Ht29cx+mjj3D65AkePXwCooKTa9ex7vWM\nsYuzU3x8/y5u3HwFV6+9hFZu4dZLX8BXf+4Esj/HzZt/jJtXOkCPcX6x4vT0DMQXIFpwcbHHo4fv\n4KRexwLgw6//I+DmGzh5/SvYvfx5VUI8+lMQKAMRDbr1U93BiohAIBG0w1j73qz/Ebk9FHZN8eko\n+lMEq1iCu9Vzq8TwkyHCKmc9HFaPf/GqOt32naCwFuBcHRZva/TXacPXVQZoFJCnonAlBHWX9cdP\nkBUAVBeUiz3W0lC6R2NBM78NNpiOo3eLB8kGMMa1QqbILypWKQCO62OCIscBgjO8RDT8SxmGW1vD\nslQ9gNHfy8Ny9FVymFFfkoSeXwsPSuERoowBC/RivgnXjBKEoJaYS17VPEf4swkCjyLjRETkMNyc\n7WUPmn50iwPV9w6o1QNxPEdnKmMEZzjui9OnOISk0z6kacyrAJCxbr4GnRoIemIvGfOKI+JprLmx\nbitfRMoMfFOgTcKrF3OKN2PShJjXmAkirTxCBOlDKKMYTCej6ooy9xJ+JkFVn0YCkdW6QVgJHqJe\nuQxmJYNGtf7mWI7hAyKF7KApJg79CARhoEYppDXgJ2cKuk6I44sKCAsIEqwghYrZsRpwNyqRWnnJ\nh8fUwiIrAHal4CI9g4BImndh2UP5gSohvcfsR/ktScqi9RkiehpCLSEEFcFQi6B3rf6zo4529y4e\nfPgebty4gZsvvYa+O1Gh3wQP794BrU/w4OwjnO0beHcLX/mpn8HXfu93Ie0DLMsehRp2ux3W9QF2\nux3ee+cHWL644NGjhzjfN3zw4V10ugLwx7hZbuPdDx/h+rWXceXkCRoWfHjnu3jts9dx+4WbuPvx\nu+htj92VE9TdFVy/dRMnJ1fx2de/gLffeR/cgL67hpde+SwelYIVwNKs2g6tYfWDPOhGqd3907Dk\neZAG/1Qr/SYYZ8m5EriodqwJ/Bbf09CRa81p7coergNERLT6LzUYyY4HsjqjAZ9nSJP0SCDnNESm\nupEHyUnQpC66pdDYHv5h2p80avFfe8sxipKSWvMEMfNU288XaFdq4K4HQipFNWZrwH8erRXo1tWR\n7wBExYOcXLr1seSf+ZnwAw39WmAclmhw2/Y+fSlH/lP4GFiZtDCBahnnpfm/9N6Zkc1mewih9G8a\nc1cogUlMa8NU1zEsZ6IQlPn+avDVtnRUFu655UjJKDE0rUEPJrb9B3LrRaPv3B/gUVLF/A+uvIz5\nGP+GRdGxjVVi6aiEiDplHn3y2nLH+nXs+f5TWCwNQSEZYrdwRkCMj10Ig4GnCE8iYz6U+z2+z9GG\n/rnHtea+TPRCqqV7IS/1dbZ07YZOdPGm/TWhG6lFFPGmpFimzy0dBcy8SWkAdB9VWDTx/gL7++/h\ntSvA27///+He298DnZ2DO+PaScfVndLA2aM9Tso1rPuGr/3hH+Hk5CqaCO7dfYB7d5/gww/u4sUX\nX8GX3/hJvPGln8T5WQNkhxvXX8Tnv/AmluU2Tq7cwLp2fOutb+BiPQeY8OrnXsPJ1St44cWX8eTJ\nE9y69QKu37yGx6encfo4ADx++BH6xX30sw9x9tH3wI8/wiKE0jWaukBCJfBSVsXG3FrTkxBoRGiT\nRT3nvZ7nb8sLt+vkQTM5fQFAoDjbwK/tOmXUJt4pCHdN3rtOR8xK716H0pWXUsrRg3uf1p4TQdbD\neiDM+UwswyeWHdAe+u6FYSupmb1wibB16nr8uVtjwAY2tGPBfdLyIkVFhGOLrtJH31MKllpH6K/d\nnwniWPONy3W8NwcYbJsfF94wIoggCqNFbb2N4CrME3S4fe7TmMX0NzSh2Efm5wUt5v8qG8LdvsPT\nAnJo/qe1WFvWDb0N/x+M/EgjgWwY8lYpGUnWFhRk6BSlz1WhcGgvPU8GUwGS9dxHMWZnyNs+ZEVh\nW/R4XDcElAqxPs2bb3Kfh9waIxibX+s1KH1vLOajiELDaRx5/bMgLEUDDELwpnnJNJ7fnS30STHj\nUf4KSBGiG7rIClWElJdyKOTYA5oYKARmgayP8OjD7+Hjd/4IfHEPDz58Fw8f3FWrZF1x+/ZtfHz3\nAW698ArWrs/4iTd+Ag0NZxenOLm6wwcffIB3fvAu9mvH977/Lu49fIQr124CfIJ798/w0suv49bt\nV/DBh/fx4OEjvHD7Bu7f/xjfe+e7ON8/wu2XbuLs4jGuXr+C09PH+PjeI5R6Bd/+zvexbysePnyI\nO3fuoNSGu3e+h7K/hx9843exk2Z7RdRPnPeXiAkzLYhda00pQDnDL63/kbk9JsS2vEppBBbKr2kS\n2+jl/NPb5A6yPvp9LtCGInrc4DimUH9aey6gRYDAlcFSNN8Ih5LfTw8monG4G2ARWAaX2MA9+g1Q\na21v8IoQIuRzsdwrd7x3RjgmWcYzip8knXxjC2n9MCKOMP6sKQKIyJ3QVuA+mUFEXbTGZIVCk37q\nMYn7WmyMrNgOkR4QWOwI9YUMxhSBO/g9kdzPD6KOKHuzFco+V7nvW2JlZpCd8qrHkgjKUuP4FmeK\nrmEXcz77qbZxpETvARu2/5+6N4uRLEvv+37nnHtjz8jIvbKy9qX3nu7pafYMZ3pImouGHlIQKdOW\nYFOUDAOyARmwAT94eZpHPxmGYdgGAdkwYBsSQdKgJdsSt6GG5Gyc7unu6u6qrn3JPTMy9u0u5/jh\nnHPvjayameaDgdYFArlExF3O8q3/7/8VvLn5XEwhzFiYeyEs3DxNnhbq/pVTfOE+V/CgkVl4sxjG\nMtjEixQCUp2Hif06koUCXBeC9AAUG0qTYPL2JDYaaENdnN6DwobYTpcaqML68MGWOYWiQQQFJaMd\nbFkVQjjusyWhMpPNh36kXTjuXKcCycKCOQRkIVJ/J17p+Dk4beAUBY5SitStnyIvYx5KNLlhFdiQ\nvAV3Pe09FMtUiiUD/iiFIWCy6xk3TwBGGJROCUlIdcTO3mO0KbGxvEiaRHTb+2yuVAmlYm3zAk8e\nfoIgIKzUGE0njCZjtFFU6ws0WiM46nJwPCBOBdFwwsMnXa5cucaZcy1290/42Z/5eRaay7zz/vtc\n2FylVCnR3u9z4/4dTHTEhfOrjAYD0ukAVaozHMVUay2kKiOVYTgekaSGtZVVBv0dtnd3OffqF0lQ\npFLjCy+z9R4Ediy0yWSAz40h8r3mvaAfdWT1Z06mBSLfF76TuJenxbSHn6eid3x6PxryBrnWWTAW\nHWkKKZwC24xfP8aY7Dq+c8m/horMkCaaECsgVXHzFQbM8ywKQ7bJpDZOy2NjxIBxtWFeSEshM7Lc\nDPXjLVGwi8GdIhASbXQ2mDqdF54ZGMPGlLJmmDb5LzPBpAuJfFtj5Ta4e2JLUCyRrm+P/9ycBUth\nY4vcdc96bwmH1HMNQD3AIBDS5kC0r7CfH0s7VOKZAsofOTrPWe/OEiy2rM/OkZqsv5CHJmQKSORz\n4xVzkc9xTrGavC1M0bLHW41KZEl9r7y8cg/D0LWAcB5L4bnSNM3CraognBEiA3VIfcobxW08p8yM\nAC2MpeDxQtormzSPJvh50IWxfcpLLXrg2qkePzdiXlGUShVbrOxzhNIq5tP1XOC8SuwzeY+nmL8s\nfj7zYrSHVoPWIlMeQuRAnDlhZQrz4sYoSRJUENjcnxCFnPO8gir2Ezs9Ls8ao8yQYv6axc9roy3i\n1FHTBUajp1NKQZnRLEWVAqJUs9ZsUCmFyLhDNOsTIklncOniVe48eszO9j6BEoyGEYFQjMYpK6vn\n0KlCGklQlgRpBMECwwm0Wpt8/PF9Xnu9ztJii6O9Ha5evcza4gKtxXWuXbzO4dEOUTxAmBLTYUR/\nOCRNU3Z3/orLVy6hjOBg/4RGtUI0hUCUYdQhXGjatRVIpFIk2oIqEJZmreTrXf1CFYIUWwyvPejF\nbzcvt4QAkze7TAphwuIc+fpRYUALm9f1uV5vHBajW6eZi7yM8u8bYwikIDVpcUvOfa6YPiqu2dOg\noh93fCYUmUZQESmpkAQmQJgElMjAELbYNMXTUwk3wMYYUmky4WaVCXYz4cMdNole2A5IKQgTA5hM\nwZnUoIS1KAMl0YY5QZttHK1JHWQ8NmlWwyZcgae3MkMVYKIkm+zAKyl3/zKUiFRDYpFwohCO0oFV\nQhjniqfWm9HGgBdMgBShVVRSYFLt6ojsM+uskJfM+hJCEIoctJFItzmMRqkg8+K8Ms0seiXAh3gT\n20U58EoM7Fw5hJ92PoE0zqNxi9821XTC2oVEix6bcf8TApS296TdvdsQmcqa/hn8/diu2bamSxIE\nFSBBaouSNNJ64VoKQiRKa7ROQBqkLJEaiZSgdYyOJtQqFVvbplNSKW3inIrzJhWpCImZUnIoOYNC\nmZQ4mTHsD2i1ljEydOd1MH/nyeksBAQeZWdyplsHDHIcnM4jSnUKOs3G144TDsE5n3uy6yb3ZqzH\nKOza96GdjMXDFcIXlFIxx1xUHE+F/bStTYuTJBdqhsxbl1JYME3qajvdy+8DjbFtbeCp+/fXDArR\nF/+/+c+LrCGjwtaNCSVQOiWJRtSqFcax4aXXv0SztUqsmmxvP2JjUaEmB9y/fwsdTTh77hLV+gJX\nrl1nMpqyvtEiTUdMZyMq1RaRFIRBmdAEvPjq5/nmn/4F/Qia9SpRlHL50mVUWGVzc5PjkzZSpyws\nNonjmMvPvcDdh7eZzDTt/QHjSUSaTGg2ylSrVZRSDPpDhqMux0ddllY3WKjU+c6f/D6v/cyv0Ulr\nLJ694NaQNVq1TjLEq6WfsxLF7lPp8u3adcWwUSY/XgIBwipFKwBySj/f8QOsoS8EGJUb5Rm/eQH9\nrf3cCDFvaBQKtw15OcecUevOkTXkzQUj2hS5Jj/98ZnIkQkEaeLqWFxc3ucdfLjM0xnl1vB8eAmY\nbzjoBrjY+M2/MqLawsuSYub5Ew8JTSVoZWlupmmMVpYVJOEnJ6T9PRR/Fguti9fPXPZUE0qV5e2K\nG1opld1fUAxR6YJFc8r7KnqSTwsEMqoaH6r13oyn1/K5R59D8h6Jzy0W71+6fF0YhohAzTVxzDyO\n4rwX/vZj40MPnG7o6cYsVEF2D0pAIBWlIMz6bXmzTwSKVBsMgooRSK0pScP2g08Ytg+Jp31KgUAZ\nQw3B/u27PP7oQ8YHO6QnB5THfU7u3iYZdChJGxaTqcHWcNneSxUp0L0Tju/eJhgPWFCCEChJRYAm\ncPesjEGlCTqDGfvntp6tVJ76WT9lpQphc72kOuuw6z3k4hoCsl5mgZBZbrloPGXzJnJvx78Ct0dM\nkhfFF/MmPk/lPWG/potevrfkvUeW3buxuWrhek/5Bp/+nLLwPMW0gPckT+8xISwi1yvdkggoCZuD\nHQ7HjKcR5y9cIUqgUmlRD8usL1SJO094dPs7qPSIKxdWCWXCC9ef42B7n/fffY/dx/tUG2ssrl6m\n3LxAJBc57BvefPtrdEfw5tu/SCIrPNw9IopT7t+/z5Ptbar1GkoK7t76mHuf3CSNI3af7NJcWKUU\nLBAEDcKgyvLSOq+99nmEEJTCMpPJjFK5jgoqGFFiMJwyGnbYeXyXlVYN6dlJTIE955SAL0ZYTsuh\n0+8XvR6ASljKc6VCZB7X6bkv7kHbu20edOcN3yAIssavOc8pmbdclOnF3L0Hq2VruUBf9WmPz4RH\nhhCUwtC1otS2MNc4BFyhABBXmGmE5aPztkCxZiqvX3IFosY81ZpbKUWSuEsjrNVsdJbcBJHB3ZUx\noF0zS1evhJQZG4IvihVSZAW99rL59YqLJ9ap5VtMjfPUFDjFmyQJ5XKJme8dZfIQpk7yFhwSm+/I\n6tmkFQaJ1hDaAkOFwmj7/F4Y+NyiEDYUobWtwZJSEs1mlIPQFpw6QefPa4z9nBs8EIbI1XkEjjg4\ncFafrccySBVki1a5MU0z4IINp4ZSocJccGlHH5UIjU5d/N4zjBhJalJb1GpApykqDGxYT9hSdCEN\n5aDCdDpGIgkDy+Q+jWaWTzJKGN7/hEEQcO2VV1G1KmiJiiJqIiZAkJ7sI0uCaADtu/cwkzHLF69T\nay0xHU0pVSoOoCNQwxOm27e4UAmIxhNmewljUWX13DVGqSuqNwZtBEqFWQ4WTDauQRAQRxGBK+B9\n5vZw2ijzmITdG74oP1tnTnmlhXykX4tG5ECLTECRh+iVEQgVWO5KF0otKlVTMHSyOXXe7mkUoQ3b\n2nIZFYQAzISHawdZWPlZKRCDtm1qdCFPXVBu3qM30lG2abuejDaUlKLWaDLqHNA76XF00OHM+ZCy\nmMFkh3hwlxodlBS0dz6mEi7wB//nb2NkysYKbKyGzKhQrm+QVDS/8vNv8C/+8I9Ri+d5/swLvPfh\nR/z6b/6H3ProPd79i28yS1Iq/S5X1RWS2ZRARHT6bWqVmG9/58+5euU5+qOIK8+/yuOHDzh7pkmn\n0+Hy5cvUajU2NzcJVI0Ll1/kk7uPuXDxEuHEMBj0ODk5ZuXCyhwIJ00NJVWyjB9uHj0IrLjPcYZ5\nmhnbNmduXIQmCCzzPkZTktJ5V3Y+vBGeEUcXjWwlbKDIns555DbV48soJBqTpqCCLAUkXVF+oGyn\naiktAXEqmIvICCGypsGp+euxe3w2FBmgs1ZrrkmhSwgiRIYS9MlHTygLzrgVDqLs6xBcWDAxJhPK\np4/MKHaTa4WDz0MI0GTXL1qGCkiMVbZC5LkU7UiMTxccn76291oAgjAgTixtixVq1uPySMzsVG6y\n09RayymO9T7NPVawylQUUUPSni8RhcS/T+g7qixv3ZZd/7fiYd9z1y6MQWopBdwiFBlXnjE2PAs2\nJo5wOUk3Rp4mxxoNIrsn3xEYrDLTzqrzQitNU8pBSBAqZrOpHbuSsovdQjhIU0uoGk0nhE6JBs44\nqMgUPeyz1mxQjsZoEbAQSoI4wqgShhgpBZVKQDoZMDgZMp2OMXGfR7c/YnPrAnWRcu/JPc6dO0+9\n2UIA6fQEmZww2O+zuLzEnRu3SCrL1OtVZFghmfTQWlOqt6BSJy30xsOtTakTgjC04IVCbqBoCAWn\nEt9eWEEenjHkeShfYGy0DeNlecZTiqOoeFKnfFJnqAmhEGneUsaXSmQeEU8fxXuxq8Dlio19z7LR\n5J6mKsSDsrYlxuaasxBawSso5nB89xAlfb2kNQzLtRr16jkWFlukhAxHPYw+ZNJ/wHS0y0K1zCye\nMp4NGHfbnD1Txgio1xaJx09QlTOIdIlXX3kTSg2uPvcqWlSIUslPffFtpDDUW6vEJmChtcKX3v4Z\nfv93/glnVhZ4+4uv8GS7x2BkWFtbI6jUWTtzkY2zFxhNR8xmXVaXGxg9I4oiVleXOTweUq61uPrc\nIo8ebzPTAa8/fwFVKYOwAWmP6A6kY99Vdv1oYyNV2hibMvBRluL+dfvN7/Vsi/s1InPu1gyaoPKw\ncz43ZM1ecXNhBAhnSCtn0Jo0tcXRzhlxiZsMc+Dct3wtkZdRGZeayABZz7J0fsTxmQgt+lHLwkrF\nTWMcEzzC0p4oMhhwPmX5UVz4SqlnoneKLSMokgEriVHzYZdUWlizZ9BOJda6x9gaJTS+L+9T8FS/\nWAovv7i0MUziyLaq8PkrpxCK5QdFy0iInDor1ToL00jnLVJ8dgQmcbUmOiFNY5sfEtpuEPl0g0U/\nZh5QkrocYlbjE0i0errexH83kA4q75jYRTFU7Ouk3Pd8KDerGyEPaWSwbndfk+EIESdMen1EEltk\nmrHs3KGwIT9mMaNun0BaL1EJMoZ00W9zfPdD5PiIZiNkOuxx/+OPGPdO7J5VhtFoRKNepVIqsbrU\nYtTrcvXCWWoSqmmMnIyoy4Te8S5iOqJiEk6OtpmMDhlPDtl5cpOTgweUmFI2Effe+VMe/+BP2X7n\nT7j3/T9GDduksyklKbPuBsJAPB4QuKalmbdV3OinQkKn58yHd1VBCXpUaNGaBhBKIgMXti6cmClL\n3gAAIABJREFUR2FJsbW06624ZzI2Ft+a3u8VeKYyO71Wgaz2zdfv+XC1X1tGYO8rDDLKsqJ3mu3F\nQiNdhc3DCW2Q2nVcdiHpVEiqCy2uvPASW6stescPOdm/x3TQ4bC9Q7d3iJAp1YrCxBOS2YxkMmQ6\naDPq7fLw/vvsbz9GpCmNWoUwDBkOhy5nq3jhpVeRYYVzFy8xGk+p1hoMBiOePHnE9vZDHj16Qrc/\nQVNmaXWTx7vHBIEFjIzHfU5OTugPerRPjhkMhxwdt7n+3Iusrm8RqpCjwwNqAZRJMWmCSbUdO5GH\nc4vjfNrwKc5DcZ+eNlSfKtUoyJriOZRSBEFA6LzswNhcuy8/snyY+e+gXW7Wy1qLhvSK1NeVCheJ\nksZ578qWThXR0J/2+Ix4ZIKklBJGFWI5o6QrpFJnm8hWBhnLFqEFxiiE711UQEHZ7D62nYbzfIqF\nr1rkgjOrz8EmzgHbEsNzkAnfjLxAnwNWcQnxVLdUYQphFf8/mSKEwmiBL/hDa5Au5+DzcHjrxPED\nesgr3p7B9QeaRwEaYRGL/rpaSguU8R1f3UcVTmk7iLmSco4XULrQjXDAA4FdGFLkBbgZeMB5vL4y\nX2atP6wLKY0NGWRccP7ZjLfQfBjBPpxftMZ5oNPplHKoEEqCFJSEQDXrkMQEpLQPjyhVK7RWlikH\nZWy2UmPSGUrB8OAJ57a2GMcTiMecHOwg+zvow23e6z5keWmN2XjCuHfMpN+l0likVqlx5bkrPLpz\njwsbqyw2Ayq1EuPhAJIBB09uwr5CT/v81Q/ep/W1X0csrXP94kW+f/cGi7WQ9uERZ9bWiWcT1OiY\n8d4tKiZCyYTuoeHmcMDqi2+xfv0VUilRaUyoBNNkyvf/7C/43GtfoNpcJglssx5EYGucxLxAF1i6\nJRnYLgC+lMR7Mr7sw69CH2L0gkNrjW2B5ax1R/Ulfe81IDBOwUi7N2yjTlucG7jSE4zJwAQicHBq\n732ZHLnpywT8PpTOh87CnSLPJxtHm+X0xVwhLlkUxAvklFBEnOxvI6OIyWTCysYZUlmhvNBEmSkL\npYi4/Rg93aUWJoSVOpNRwmAQ0e91SRFUylW0htHwmGq9yu2b77C8fIEPvvt7XNn896iPjzlq36Ez\nGjEbXOLytRdJdZkvfOGLCD3l4f1H/Nu//mv889/9X+j3j0kSOLt1ifLCeRZXzrO1dYbh4IAffueP\n0cYQJYZzF69xctLl3oNbvPba56lWYg73P2FxQXPv9g5nN1eppCckhxP6EaxuXiY2FYSy7CVK5F5t\nptTcePvOExa8X7RInOHi0jApVr7aOfXhe7suMDjIfG6CGyeLUCCEK8OxmSALEPGlHbLkOoaAdDWI\nWYPf7D58LawzcJwhJoxrw+SM+6Lh9JOOz4QiszLNFQEKG5CQuK6iLjlgXH2XEZ5nb97azM4lhIWg\nFijrTWHj4shLM4+HTN7PLw5/3sI1fEv5Z1miz4JaS7coXDOz7H2vGJ6JCgM88Sb4+zDuVzGXA7Qn\n1G603KWc0vCs8vaa9l2ZLU5fS2XPaxPnBs+Bl+XeCvdaLPz1yMdntiJXlog341r2IUUMQvo6EZON\nq5bKKjsgcbksnUIQWsGb6BQVSibjCQFQVorFag09jYhLBhmWiKMxykSkkxFHj25SGh9Rq5RJJ4fo\n4x2GxztUpCIUNZYX60TTKZVEIpKENE5IAk2l0aTWXCTRKVGkqZUrtPces9JcIjAzmtUFjscTambI\n/Q+/x6XrL1PdWOWLX/xp3n/3m6QJ1GsNphqicRsVjahUQZiIUCeEyYTVSolgFhOGJeLpCKEMC4Fh\nIZRE/TaNWpV0BimSWnOJyFFRzTWMFQaMJkkMpQKzPVAA/TjEb2HdeCNFGY+QFHlYOqMGIg/7WOst\n8xJ9CF0IbMNY4Vj0sSFMt7PsHnESTjjGEoyruSP3tKTM89BzURRE1k6piHJFSJSSWeg8SDWDo20e\nf/Q9zm2eod/uUDMppdoS9YUKxIccPPqQ0eFtxp3HDPtHtJo1ZrOYUqVGf9AhDMssNJfZP9hlOp3S\nGwy5duUiRkuWVxf43r/6p1Tqi6hyHdOfcjQbEw86XL72Mq+/+Dx/9C//H772i1/FpENWVhTVUsrm\n2hKN5gW6AwFRzMHOfR7cexchJhiT0myscOfWPTY21tjaWKMcRPQ7d9jb+YRSuc7LL1ygd3Kfv/yj\nW4T1RRpLV5n0Bpx76acsGlbYRqz5evBGeB4ezGD5xZyrt3/x3o4zcIxBnaIxA0h1muWhvRLyIU6f\nS7N1m0G2/rxS8jIkdXn0nLxAOvS52/GZjMrrfF1MESkLb3+K4zOhyDCaQFUw8dQVr6YE5AS3PmxF\nxt+XK45iGC7LY3nBbfIB9OfJFA4agWd8eDrEllm0iCxpalzXaWFy69ZvxPBZQVqTZkoxV5wq5z5M\nbatzj6MwpmBFuQWRuu8XuxFniEOwCB+jbQsGCdLGHgmQGf+jJF+oPsRT7GN2+tmLNV72EiKDUmdF\n6TiyWR/e9TFy44WaK+IunJfCIvcFkR6QI9KEWhAwnU6pNBtMphGyFNqwrUkJSwErtTqHjx+w2Kjb\nmptEk5gZoTLo8Yj27kPWW00WlGbv/g1Kukc6alNmRqjKPHm8x9LqFmfOrPNg95g4mpLMEqhIKqUy\ntUqVwIyZjkY8f/US396+x2KtRDru0p/1qQUx51brTHu7mPEmSjcYDYZsnb1EaA5Yai6hSiFrCxXW\nVlr0u4e0O0do2SAejmi1GiQm5nh3j4PH9zFJQqkWcHZ1nXQy4+GtW5w5u8nOwTEXn3sRUapipJqz\nrI3L/RnXyiZwEQsBjgCYzDIXEtvg042/0JYFX7ttn3v6NoqRUXcW5EvWjNUbM7gyGEHWdcEj0jKP\nXcyHNu05HT+j25vWA89DX8az7Bjb2UG50KQxmkAoEmNI04RQaEIB8Wif/YcfcrbVoLO/x5Wr10l1\ngCRGTdrs3f8Bk5MHdA7vMujs0PRrKigRBCWWV9fo98ZMpjGzSGMISNKEhUaFcikkibvUSobhoMfg\nIKXdmTGcNVlcOaLfmfAzX/0Kk0GXhfKIDz/4S5ZaCQu1kG53wqD3iI31q5QrM+7f/xiRDJmMpizU\nGghhuHr9LJWyYmvrEqNxm1AZVhYrdLrHiLTCcjNkvHtEU1WIBgfsjxIuvPhTaGlbImU9BQuKKtuv\nxgF1MjvYrx0nL52HnIEKNWRGflGOSle36+sMlSTrr+DljzYIkWbKy3anV3gMgzXkbSrDFfsVQuOF\n3nSZbHNAMbd+f3Tw+unjM6HIpLCInEAYjJYgcytwLlTn4cpGZmGJYuLQ//ShQs9ykCu7PMegXC3P\n3H2YQsyYPKfllYgmzc4DOYJrzoMrnq+A+tJeIJDDkoXTYIlHAGZgiDwU6tuW+LsS3kMDhEgQzmK3\nnXbngS0y80Sd9eU8I7C1I3PIIEHGpv/jChFtcXd2N9m58XfllFfhtIVr5ArUQ7mVsfRkOopACerl\nkPbRPs3WKuAMB2y7mZODXeLRiMmgT3NtAw1Mh0NWmlXGcURJgo4jgkrKtH9AGM6oBZrxOCIxUKuU\nGQ7aFsUYSNaWFhFKEw/bhCVJqyy59/EtVpdqnGluQDJj0GszGk4YDHt85ctv8e3Hj2hUF9i+9xHx\ntM/Z9XU++vAm0XgEShKWShzt3mEyHaFVhd5UsLSxzvWXXuPo5BhVmjHtHFENFdVmg1QGXLx0hW63\nS2U8JY2mPLl3m5PBmC985Stza9yvOYDYdQn24VlwMsl7YMKHdcnDdwaEDPwnEcL1vXIRDwSOMUZl\n586NH7cnDFifUdk17a1zH1kSgoIf4K5jDTgfks67TttQpCcdsEhIlZmVme3jwlahEoRaw2zAzsOb\nHO7tMiqVuH79ZZ5sH9FsLXBmFQaHj+ju3YJZm2QyYNTtUwrKBEFAuVQiiQ1hUKVSlaRGUSov0Om2\nmYyGKGVzPe2TYzABMiyxvLLAUXuXixc2MSLkeP8e4+4WVy/UONj5IYE4IdFd622IiPbxY8JQU6ks\nEogZg+mUaBQh65DqGQsLVYRI7brXEMqAdrtNmhr29x5TrS2wtrKIJoJ0QjTtE6JBa5ICo4sfWyBj\n5yh60ag8LZAZFS5l4QujrQE6fy4hrCacM3RNrlaKkZo5Y0VYozoPCVp6hKKM4NQ5hHBpI5w8LorR\nf+1Ci5lSMQgROg1+SmhjrTrIQ2he0RSFt1UqLizmC0D9z1MLwBbszQ/yaXqX0yFAhYerngonPkOR\nWVGis+/5+ldPOJx7lTYXkS0M51f7O/MkxcVr5ocueK45vF34tilALJ4OfQrEU95sPh/z8ffTn/GB\n0meFRvPruHMVxjV1GRKZtcYBkgiSlHQ2pTfosrGxQTQeElUqJKmhXqsQKkVQKjHoRgz6XUSpRGtz\niyie0KjVMbMZ436P9fV1mJ5w/9Z3iMYHdOIx1UAgTYARCelkyrR3TH92iCjVaC2tUXX5wc7xiGog\nWKoFdNu77MsxS8tNNs5ssrd7xHQ6Zf/giGvPPU8ap6RJTChjeu1DGvUqu91ddvZuc/7cReJogEkj\nRsOYheZZvv43f4NJHJBgm0TeP9rm/PXnEJUGw86Y9qDPweEBV69cYm/7Cc8//xwPj7tuLfh2PoXx\nNSKjlvIGX3HuEA69WjTMhC0yB1vfnod8jG3r4lFomWfl1pawlrZnkbEhLOt1Ccf6QiEMacP/Cr9v\ntdZIpbJwoVey4JoyapPxP+o0xRQo0/yTSSmQxiBJIJlw68YPGbaP+fLbP8+jR4+YGsPzr7yAnI3Y\nf/QeAUdMpvv0uwekkxmpjjk+PqRcLrO+tsUsiqjVKzSay8yihFnU58zGWZqty0RJxHA4YTgcEwY1\nZqMEWUrZ3NxgPD3m3r0nvPrqqzz65FtsLRmO9x/R6x+DiRkOx6SJYtSfcW94i2q9SaO+zHAw4eyZ\nFZrLDZRISNMpEsPNTz6iUVvk8KBDuVKjvtCgvd+mVB2xsWmYTlKm0w7l1mVK6RgpQcgSU7evfF4M\nLFgiVEE2x0Xkov1p2/8Enh6uKA+y6Sqgs53w8LgCH7bMZYBx0ZjyXCoiz+Hbwuz5qI/MfhqROKMr\nB30pGbuI13xN26c5PhOKzAAlYUiCOsrE+H5WMghJXP1U4ngPLYxT4ttT+OO0Kzo/gIXC4ewDsuA5\n+MlxRXkmJcXDmE0WtwWXoytYqkXmd/BhGX9vFsZsqZQ8ZZV2jQfTTElKI+eUghcw+bPk7rtfbGBZ\nDaxW9wrTc06maGx4xgBKaCxMxTYh9JaZBwCkWS4u7wHk9Zo0np3DXvt0l27vhmWWu/upThkIGmEB\nBcI/Q2pj+EKjTYwKfLhXUw9D5GxGNB7RrG0yS2LqlTJrm2eo1arsHx5RUoa97T3ObKxSQaNmE4SK\n6Rxtk0ZjKlISVErUayX2to+ZxQmLrSWSaEwpqHPc6ZCaKYEeM+gco6Mp9XqJM8sVlA4olxT9/oCr\n15qI4IRGa4knOwesrKywvlLn5OiY7kmPrY1Vmo0KZ19/gzt3b/Lg7keUKmWiVGLKK3ztb/wGh72Y\nwbBDtVIiNZqti5dYXFql3lwiOVNhNhiwda7ESbuLECEH+7vMZoZoOqNUCxAiJUkSAlXKxj11DUOF\nDyNhIxtWCaQu5ykQGTckWU7K7wfrTRkQKRgrBC0yzhblJyb30A156NvBgghknm31fnqKC127/Rko\nv5593rcIABJo6ReRzYukepbnen2tkhEESqKMIRoNKRs4nsREJuTSK19AJTP2H96jbA6Z9B8jTRcT\nR/TbfaQwrK5sUq/XSY1BhgGhkBip2NnZQ1ABWUKbAJ0qTo77lIKQpdY6C80W+8cdjo779PrHnNm8\nwKsvXuTC2QrRaI/JVJLEM2qVKgeHE9IEkmSGNpJuN6I0ndFoVrh08RoLC4rOyS6TcZ9KpYJBMpko\n+sMhpcoypXqd3f02/cGQVzYvopMygRKUq4rJ8Ig//IP/jdffepvyxnlUqYkqhXb7OLnmKeOkEW6X\n54pAOyNECEEiC82B3TymBaNZOuNCIx34zdjiZiFsF3Nh51hIgW2gqfCUfXPdQkxeZnRaHRkXgrTy\nwlIC2lVnjS9hDAE/yjl49vGZUGTgwh+p5QtTAlDKcudlwl3gE8gWyfUsT8L9cqoCXrreOr4Lr/1w\njtLK62s8k8a8xTpvGVh/5LQ3ooxHgXl/hexzc9xjp+bGX8crVV/zMZ/gL4YTybWMcchKg1WOJkVk\nwsLSBQEuVJlf0+ao8hodmY3j/M3ZhC7ZhsmeWck8nKW1O5cfG5M9R3HcbDGu/8tRdjlhlaSaUiA5\ne2adyWjA0kIDFZQyoaq1JtIGpQXd4ZDJbIoQho3FJoO9J3RODkmGbRaXG2y2qsyOJeWFOntPjgmD\nFhrDUmuZ1GgODvapLW9QKYfUSoJeZ5+dh/dZa9XoDCIW6gGhjDHxlIVajd3dbeI45oUXXuDOvbtU\nGwtM4ojF1VXGwwEHB/v0+31WXrhGECjiOGYcz7h45TXK9TNEKSSpod8fQmph3Kq2SOtCmbhcJo0M\nqlqmsVDh/Xd/wOJCnTffeIN6a5VRnJKmM0IkgRTsH+6ysrqOkAGhyemhspVpciMndEZfmq1lQaA9\n8tHXgqWnSIvtfAszn1vN51AgHK2XMcYpvvnrSyld/za/Zmx4KQOGFPYD0sylD6xz4AwtF6SRStpm\nkEJAklKvVBh023z57a9CWKdSbpLGO4RyyOjwASUxZjjokcymYFJmUcr+6JCFep2z584xmU1RQYlK\nWOJLb32Zw8MhoiRJkxkHew8RBCAC9vaPmc3g+LiDUFXCkmF9fZ1GI+Bg7xGlYMpwGDMZz1hZW8No\na6RMZlMOj3rUm2tsnbvI1WvP8/DBfQ6Pj4lnfZI44smTI6YRNBZXWV5eotFqcefubVbObFFtrHBw\nNGZ1tUFzcYU7773P13/136IzmvHo7rsM793nCz/7qznwDd866BlsHsaPd14GNB+RIu+a4ec4m2ub\n5zZC2CaXboIM+TWko+PzedZi1Oh0VOe0XPH3cjpM6tfH6UjPTzo+I3Vk9pCu4C7bjA6V5R+qSGfj\naZV8otlSGOUdn4v1E0UKHF9HBYVYr8jhyfY+fNH1/CQUEXxzgt2HVRTZfdjz2JdyVqkVEmTnLi64\nuXvEJu5l4bpoy5SftbQQ1uIJHJ2Vhdan2fVzz8rMFcJ68IS/J6t4ba2HXZxy/rvOgPCGgWVZiLOX\nfcZ5iLcdW4NvSWLHLbWwbJyiNnmzUIRm2O+RTMdMh0OG3RO2H91DaBtKrlar9EdjUiEZzSLuPrhP\nrVqiXqvQ3t0mHXZYqgiOdu4x6x+iiBDasLy8ymya8tz1F1lZW2V5bRURKJQSrG8sE09GfO/P/4TZ\n6JjbH/2AWqhZW6gQjXtUygEnnUNarSar62vsHh5z+fkXeXJwRFCuEVZrLK9v0B8OWFpeZGf3CeVy\nmQSJFhXK9RaH3Q7vvP8urVYTqTQf3niPxYUG0yhiNI2YpCkxtpuAEIK33nyDRiUkGvVJRn2CdMas\n16HbPiCejJkMh3bOSLNWRYq8zierEStw1XmgjnJ1PnkNX5rnooxjjXK8pFlo79Qa98rLr9PA+nvZ\nK5B5i5ki/ZXfa0EQZG09/H0WBZYQYn7/UBSGtiZxFk0olcvcuvEOe/dvYob7LMouYvgIEbeR6Yjp\nZEgSx4BEp7CxscnK2gaz2YyTky7j4YzJOGb7yQHdzoiHD7YRBNx/uIMK6wSlGtX6IkGlRmt5nVZr\nhRdeeo2Ll69SqVQYDHoMBgM6J33G0yl7u0eMpzFxZJhMI0rlBklqWF5ZYxZHSKU47pwQlsusrq+z\n2DoLZoHRWHHn/j5BuUVzcRUhQz73+utsnD1Pc2kVWarw+hs/zWA6pnOyy6C3w8vPXyeQTj44D9z2\nYwzw0keKwK4MIwlVyZYtGYnW7nu+Fk/4n8KhwV2Np2+kqW1eThqHR3Xz5CnQ7NrRbo+naKGtFycN\nWmhS7P+QBhkIUmN5Tk1Wy2qdEkPq6oOlo8Ca1wOf5lDf+MY3PvWH//86/tv/7r//xk/98t/BTkKK\ndEVxNhRoE4CB4wAsLnq/4cIgQPoNnKaIU4W6ofThQGlrtwoa3xjPESZJE6sAg0ChIbc45hScD80A\nmZ1jhfbcJhautsLRBUmcwpIuvg1Zr62nACteARfez9Bjp+4HYZBIVGApmfyYCURGYGyvl9duCWEZ\nEYSwMFulJGmazAlAf31fk+SfVwiJNmn2rNn5T82LcgLUClFLaiqkyYQYDiATyIBaqcxo0OWDH/4A\nncRsbq6TpglJmtBsLZEYKFerjIZ96pUyLz//HMf7TzDxkLVGyGYtZNI/AjPBpGMWGnWGwyGzWYIx\n0Ki3KJWqPNneptZY4PDwmDAs0++NeOutN2k1avQ6B5RI6bX36Pa7DIdjhAroDEaYoMLK5nn22l1O\nul1u3bmJCEKuP/8C/eGQyWTAaDQglYpEVkmDBbYuv8Sdhzu88NKrfPDBD1ltLpBMpqTGMEOxdfEq\n9YUlhIbJqM/x7hMCEvYe3mM2nXDv1i36nS5CwNLqGYQMqLcWUWEJJUOEKFitxrh8cJqvSYkl0hXG\nGi/CYEvzcsSar+nynrcVgwZcsTKCrBs43oqWgfMA7HtKgpB5E8TiWiiuh9N9sTIFdUqR6Wxd2LWv\nnBcghCAMA5TQNJo17n34XeR0j+TkDtt3v0uFIVE0pHO0z1G7Q626QLVcpd5cpFat0eme4PGdURRx\neHTEYrOJ1ikrK02kMLz99peYTCZMZxFaSoJSjSiCja0rXL7+Cndv32NlaRGdTAnDEqXyAu32iEeP\nDlhe2WQwmNBaXmHQG6CCErN4xs7OY0olQTlQjEcTRoOE3aMZv/T1v40sLXLx6svc+PAWvX6Pa1eu\nIgNLWH7S67F/sM/muXWG4w6zcYflxRpRWmbl3HWCconUWJlmBG6M7B41jhhVShviVUpaD0uQ0Z0p\nnCzE1Yq6ObbjbkFhyjOJCOuJWzkcEDqF40OTp4+nivaLESknw1PjatOsBY02hpJjIvKQCS3gW//0\nf9z7xje+8dvPuMz8NX/SB4QQ54UQ3xRCfCyE+EgI8Z+4/y8LIf5ICHHH/VwqfOe/FELcFUJ8IoT4\n2k+6hs+xQB7m8xaBtxCKUPesnYsodBLVeW1WUNDsqrBJlCxsLDe4/lzZtVTRCs2F9Wl3t6hUpJQI\npTIkZaZomPcGM4SXe6bsvYL36L2vwljOMWkUr11kNtFakybmqXsr3r+U0i5UD98lrxmz9SKcOv/c\nOsh+z6v081CAZRDRc9/PvVWVPTM4FCc56lNjWF5e5s0vfIHRaMDxyRF7e3torbPwstEpKysr9Ho9\nfvjDd/jg/fcQxBwf7PDeu98lngwROiWOI6q1Mu12h8UlC4fv9gb0egOWl1dZWVlleWmVTrtLFEVU\nyzWWllZ4++23qdfrtFot1tfXqdVqmQex2Fqi3e2ytnmO3/qt32Kxtczte/fpDAcstpYRKkAEIesb\nW5w5e4k33vwKNz78hK/9m3+L+/cfs766QSgV1XKFF1560XolCMw0QiKYTae0Wi0moyECzaBzwnQ8\noBIoxsMRSoWE5QqlchnN/DooMqX49X56/oQQoK1XnfFfFryh4vrKohjS0VQJy0AKEikDy/6hgsyb\ntlZ7cmru1VPffZZye5aRGAQBYRjOeW5ZhEEIhrMpozhiMh3QrMOw95hBd4/9g8c8fPjQhnCRRFFC\nHMfMZjMGoyFKKYbjEbPpiFJZ0qhX2Nt/SJT0mYz76HTGxx/e4MaNG8gwoFKrc3R8QqVa5/i4S62+\nwJtv/TSJgWp9gVZrmeFgSr83o9VaR4oyswiuX3uZ5eUWZzbXEUJz0jkmTiLa7Q7ddp/+YMbnXnuD\nar3B1Rdf4cK1l7h45XmuX3+ZwWRGvz/kpN3l449v8vrrrzMeH0MyphSkmGTK7sO7BK5MRVqUWIb+\nyzuWu2iI835Sk1hWH3Qud4TIGhQX97IxBpOkhZpEiXKEzEpYpKmfrx+1hk6vzcyTc3Ij8whPe+Sf\n3gF76vg0ocUE+M+MMS8BXwL+kRDiJeC/AP7EGHMd+BP3N+69vwu8DPwy8D8IIdQzz1w4jFCUZYpS\nIYFLJAbK/sSkKPKBnYujFjnZtLCD7rS6f2Fc4V7hcTMIuBu81G1uXeD9M2I+z1NUlBJyZYlCaoNI\n9VzYUzNP8SQDZQk007zfUzFnVsxxSEROTeOsJmQ++blw0KREc4LhNAIR4ZhQUJhMwJA9QyAt+7lw\nzxYgLGWMsffqfw+FJMDkTOWuU633aotdj23PMmt5aaFJTEJifQPLJiAtVZMPsxoZUm8uMZpMWV5e\n5fz584RKEk8nmHhqFV4K16++wFfe/Gm+/rO/wHqzyQc33mXpzAr9yYjxbEqn06HX6bK2usT+7jZS\nlGgsNjFK0huNOWofIZVmZalJo1Lm7ie3adUXENMEtOCkO4RU0u8PaTWXmA7HPHn0mOeuv8Li0jna\nnQgR1JlMZox7I2oLTar1JkFQo9efsrFxntbyOldffo29k2O+9JUv8bmXX+HOg8csn9lAhVWef/7F\nLHwdypTZqM9Sq8mVa9e4/NyLmKDMc597DblQZ+vqVfD0TSKwLB5ZpCAPuSGSLFxbFDI+zKRkSCAC\nQplzamZCRBtEKpDaCi1PIRW40LgQwsK0BRY5nBW1gpJllCxn55bG1oIFGAJs76yStPfhXxiJ0SIL\nTypjSadDId0am08jBEFAiQBjYHFllcXGMl//2s8jzJAwsHlhpWy2qDMYOcJxzf7RMUsrqwgCjg47\ntA/71Cs1+t0R0cwCXKJoSqtZR7qw/KuvfJ7RRNMdJJy9dI1BFFOqlvjw/fdYW64TkGDiKbtPdrl0\n8SqXL18l0YqDkx5rG+tIqYnShF77kHMbq2yur7G6vIIwUF9YZHPrHKVKg+P2gPZxj+GMlvW1AAAg\nAElEQVRoyoWrL3L9lTc5f/V1Ks1NenHMK5//HIdHe0x6I4aDHtPphLt377K21uTdf/UvaFUsClHg\nis4LxoJlDbKyL3ANhP1edaSnmcfjOW0DBCWHHk0lGfTdMuwYVCDmjG8v47wMQevsdwmESlm0sXT1\nv74EyOVbAmnZhWzESricubuea0ek/hqK7SeCPYwxe8Ce+30ghLgJbAF/C/g597H/Ffgz4D93//8n\nxpgZ8EAIcRd4C/jOj7qGwI+vTw7jY1lzQjlju8A4wlEHBc4OCzo4HVo1RtjCUOHCgkbntWYiD/Pp\n7BzeM7I5AL9AnjWuAq+j53NLSknbP6gAswdQKrQhDpPmHprrvmwpqiwC0WhNoHL4vihMlXSD5omW\nZbGLbMHr8Vctlir4u/UsHkX0YcbIXmAOMCaFAsM52EVq8yVPA27y55zvhOyFIVpmYSyTaoSRlmS0\nJBF6xq98/W9y+/ZtVteWef+DDzl7+RJbFy6ChJCYdDTCjDsc7N7HmBHry8scHJ6w1CxxcLBHkMLo\n4ROWl5cZj8c0Gk1G4wmNRoNYp4zGPYRMGY+mbC4s0Vhc4JNbH7G8UGFnd5+19SVSWSZKp9QbS5R7\nCeWFVR4/2eXi86/R7hzz7/7mP+DGO9/hnW9/i5/76leYdLvUahVmWrOydoa/+N4Nvva3f4NEBAwH\nPYajEZ9/4zVu3rzJ1qXn6Xb7tFSZdDZlNOiztb7M8eEe1bBEpbVE88wZklKVC5cuI8oN4iS1nSGk\nbWFjgRAWnlEY8ayvlMB+xqfwTxs4jj8D7ZC5iDycUzyMsWAMC+7w1EZOIPmkv59bimCCH5+kz9dE\nASDyo0ABxmDx4ZYfVaYRoR5z+9b3mA0OaO89JkkS1laXOH/+PMvLE1RQYTKOOLdVJ4kDYl2mO0io\nlcskpgSk9AcRG+srnD17jl7PeuepEaRTxeWrr0GtTiBLdHufcHJyzLmNGe9895/TOdkniSZooXmy\ns83RQZeFxhL9wZRopvn+97/P2nqLKEp4tP3Y9h0b9FxEYJmTdpfVjYB6rcy3vv0Ov/rrf4flzUt0\nOh2q1SoH+w/46r/xS3z8wz/n1oc/YKlcIixXqVYrLDWX6R23aY/6jD7/JuHqeWJX/3c6PQE5MKPY\nbVk4GShR2TQpGaJ1gmcNsnyXOb+lcWhl+Yx5zQyaQqrBr53MwTAW26oTp6iM9zDsGhAuN2tOyZK/\nTo7sr4VaFEJcAj4PfA/YcEoOYB/YcL9vAd8tfG3b/e/0uf4h8A8Bltc2MldXZz85Nfj5UVz4nm4K\nbTLuwqcGwAl3T7sD1k2yCsL+aRt4mvx87jxeKABPnd8g5/bs6fBJ1krDb1wc6MMYRKHQ2bjcGcis\nqHG+fKBwDQM+pGjBK2oOtVT06ryyco+YHYbc+5tTNG4M55/HwnE9xBfIWAOsUM1DCZ7h2pYbWJya\nNCbrS+YG0X0/zZV4miAFRNMZe3u7tA/2WWlWObexzM6je1zY2mI2mzAbT/n2N/+QzaUyw6NtlEj4\n5b/xi9y88SEPH9yiVq8zPOmyt7eDLIWE5SpCKfrDMZtb54l1ynF7nzNn15kEMWFgSKIRvX6Hg90e\nKxsbICX9ccTKxhbV+hJadqg1GkxmM4QQRPGU9skexkw4OXzIbHiNc+dW2Dk4Iqwt862/+HOay+cJ\npGIw6vPo3h16xweUpKG+2CLSmo3VNZIkYTrqUwJG7WMePniAkgFnLp5HhQHrZ88iVOiomjRJogmV\nTeQbY61wY0RWR3R6rZxWEEUBU3w/XxMFY8uHmzPFaLI1EzoBKKRvVluYW7/vTq1fuzaLayq/6lMh\n0MLhw95SagSOmikec3xwm/b+YyqMWF9dYzKZIBFE0xkAnU6HUlhnOJ4S9UYsrW2SyhLL62fZ3LrA\njRs3EbLEeGpIYsHmmfM8eHCPar2KrCxx+dILLJ29TPu4i0lLTEe7JONdnjy+RyBhMpkQxSFRPEIG\nAeWgxNpKA1SCCip0u30EAbVag3b7iIODA6QR9HsDFpohVy5t8eDhEy5fWGdv+y798YjXXn+T0WjC\nkQzod7o2Nx1HnAw61JsL3Ltzl1/91V/jm9/+mGla5//9Z3/A13/zP7J9/4xxlmEO0imO59wY4w0b\nYyNVQmRKSmTrxbftcZEvYzIBUlw/QAEZKf2UZgZQZhBL16bJiCxtkiEdvcHlCrP9OsvaN33K41N/\nWgjRAH4P+E+NMf1TITcjxF8vwmmM+W3gtwEuXHvBCOEKNo2tazJGkW8h5zI/8xI641V8Vm4HcN6X\nZYu3zAPFScs9QvtOoVsqImO7cGNQ+DkflfW+ovuArYWRZk6Q2K8bZ93K7BtSKDybh5BWmYqCMCj+\ntGEkx+pgbEsXY1cPRoq5+i2fahPey/WLx06A/yX7n3FerkY7K067BW9yWi33FQMuATyfh4M835Et\ncOMNhVyhCm9lG4tyIk0QJqUaBoRE7D+8xyuvvcJivUo67iNRtJpVfvkXfoZv/+k/I4169IdD3vvh\nX3H+7BbR7Cyd9gGDccz61mVEqYmOx4wiOD45Ya035KWXX+PBoweEqoyqKXqdQ8r1Op32MeVKSFAu\nUW80qYmQoFxnkmjWNzY5GQz40s9+kduPH7CxukLv5AHlIGFzfZHj/fvIMGAWlXjpC6/z1Qsv8Gjn\nmHIoGRzvsnf/JsdHR3zujTd4tL3D6uZ5BGNEGjGbjigLRa0esNIo0Wi0WFpcpFarUSuXSYVlWpRC\nMY2nBEEly8MaV4IiMRkZczY9RTTtMwy7ZxpIc3vLhitlWthTwhl3flEZH7ko9AnLTpvz8+VL7Rmd\nKgr/sx2152sUBQ6ZB0gS0tTQqJSY9A+ZjYaEYUwcBJTLVcajPlLYXK+UluZOCMHhcYegvs4rn/sS\nx4f7fO/77zGdzrhw/gqbG2cAGI66rK23GIwHjEcnvPvD79H+03f48lff5sUXX+avvvuY+w8fUCml\nLNTqxDphMk446QxQskQY1Ll08QKHhwccH89YX29SrtQ52G+TxIo0CYjiCVdeuMpoPOUf/8//E1ev\nXGMaa+J0wOWG4qP3/4w0MewfbHNveMSod0AYGGbpjOk0ZGNjg/fee4/uSR8qgrVG1daLCQGuaak1\nMJ5hNJi8frZoYBhSy6QkfPmM/560pM1ivm7UKkG3QoynmzK2ZrBgOOWXdUrV/cOXVhhj4wGnjXWv\n1IwUxeXzqY5PBb8XQoRYJfa/G2N+3/37QAix6d7fBA7d/3eA84Wvn3P/+7FHlvcqJAhPv555b4Xv\nF3/O3/98zZcUhT5L+AHMYfc+FjzfPbU44E8P29OJ8nkB//T9G4RrPyEVeDjqsxKmQtgQp3KWsG2D\nIOau+6xnt+8F+b0V3v5RYyscRU/Wlt48LfiUG6PT3y8qXZgPN8wpMe/hGklC4uDjklApmo0aq4sN\nRv02xwe7CB0zGwz4+P33icZjRoMuzUaFbueYxVqDerWCwDDqj2jUFrh4+Rqt5U1UqU5r5Sy9Ycws\nTtnfO2J375DLl65RqzY4OjpC6wmjYY8onlIqlahUKjx6ss3a+hmSRJNqiFJNt99jPB6x2Khz+5NP\nqFdr6CShUS8Tz6b0+32mkWH/oEel0qRcrvJ7v/s7/MHv/h+UZEy9bJPcX/nqV1lfX+f556/TWmzQ\nbR+wv/OAkIgnDz+h1z7gaH+PACiFCokhmU6YjYaYOMG4djzzbC5ibt09qwbn9Hr6cfPv3wuCIEOb\nKWHyzulYJKTt8zd/fR9UPL0mpEM3+pcvfH/WPZ/+rn1JK/yEIo1jtjbXOHtmE4yhc9IjjlKmkxmt\nVov9/X16vQ79fp+1tRXqjRb9/hSCGq9+7i2CcgkVhnS7J7S7hyy2avR6J0xnfQRTYApmyngwZPfJ\nYx4/vMsbb36ezXNbjKYxJ/0Jw3FMrz+mXq1z8eJlkiTixo0PeO2111leXuPc1kVO2kOCoEwSA0ax\nurpKGIZMZ2POnllFpxO0HrO9fYcHd97j1off5ZOPv0vn+B5KjJmMjxlPutTrdSqVEhpDp9tlbW2F\nxzuPeeuttyx4wqUkimP4o8a0OP85W4d+au6LURbjKeVOnc/nYH1rnSzE6OSmB5IUX6cBRXNzTS7L\nvPx9VijzRx2fBrUogH8M3DTG/DeFt/4v4O+73/8+8AeF//9dIURZCHEZuA58/ydcA6k8u3zRO9IZ\nZFgKYwtDXf1McfAQOlMGxRqx/ALOi8G9DEiRImQKIkEqjZI5UEPrBF9j5a8tHYxZuMS6kholUgQJ\ngmTuWYq/P9v6tVaTkRKwzR/9UQwNQoEY1NdeCOH6CAlMYAdLOGh1eOpSFigTW8uL1H6/IASfui9p\n5sZdYdBSkYFF3CsV0oUz88/PfU+CcF6mEMKdN0EJCIFAQFmkEI+Y9Xt0O4ekyRSTjFmoSEpS0D/a\n5eDhTW781bf4y2/+37z20nM0Wy2WNs6gZZnF5iphOWB/f5/vff8v0ULTG41pLK+zdPYSy5tXeevL\nv8RXf+5XaC6dYTRLeLy9T5QGxIki1iH15hrD4QStNRcvXOXB/SfUqzVGvQ79zgH37r6HYczO7kMQ\nmmg245e/9gsEUnK4d0B3MOX81VdYXL3E48Mhy5vnmOmET25/xNUL6/z6r/wCR3uPOHd+E6ENC0vr\n1BdbDEd9TDJluVFldLLH4c49KiJmqVnmzo13+eCd7zM8PkAPOgyODhmcHFm2fO+xCGtNK4dQU1Ij\nlUaYGCVSyqFAiRRJgiTJ/u//zvr6FV6ne8wJIUhECoEFBKBsRMGEBkKJCbwhJZxR5SD5AgSJK6Ox\nL2G0ay+SewS5kUj2XYQAiWvDZN9TyhINWxLkGCli1lZX2d8/pDdIGY2mTMczOt0xt27dJsCgdMz1\nS+dYazX40k+9xpVLV1moLzOaTNk8u0W5EvCln36Vrc0a/f42K2sNwkBRKVWZjjpEk12S2S0++uG/\nZOfhB3zwzncwsSCeBfQGCf2xobqwCEIxHpzw3JVNLpypc9J+zAsvXuXgZMC//w//Y2Spyf5Rm7/3\nW/8AKUqcdHq89NJLzOKY/cNDmotLLLXWabePeHj/Nrdv3uTs1hbvffARvX7CYCgJmyugKhgjaK2u\nYUoVzl+5zmAwRhmNkKnLaeksxyWE5V7MQDuu7svWcaYooQkV2cvPoR9zITWhlOg4ts1+hYPun3qB\nJa1Wfur898X830YoR1vmDRsyAJkH+tiuBxohNYgUIzR5s+WffHya0OJXgL8H3BBCvOf+918B/zXw\nO0KI/wB4BPw72IX6kRDid4CPsYjHf2R8/OHHHLmVnrM4/9jPix8dQlHCurXPUuiZt2CKJ7K/ptiu\nxnZT6extf3glowrAjvztXIF6KL/g2WEde45c0QW6YAFh5q7pP5+eOoe7o/+PuvcKliS97vx+X5ry\n7np/u/u2N9PjHYYAiAFAkCBBA5BLUpRExWpXIQVDSznqQe/7rJBCG6FVSMtgYEHuktzVAgJhCAww\nGIyf6Zm20/aavr68r0r/6SEzq7Kq7wDgi2KUEzl1uyr9d/J8x/zP/0SexVFs9r5wj5AbE723UevX\ni5BMDsMPjy7DEIJgHHI/kuQVgBgWZCv4Y+KjST367RaKLknG48RUaLdqFIuHZBMxcE0K6TgXzj3P\nw4MKnmsiXZu4nuDSY0/w44freEKhUqvjuCaGWSOdTnNYrKLGDFLJHA82NonrMX7lS7/GT175IYlU\nkqWlJVrVKtncFAcHNSzbZX1jg4XFVar1Gnpc8w0VFeLJOLXKIarqMlFI0zc8jF4b2+qxvfOQleVV\nTFuwsLrGWWWGTs9id3ebw4Mtnvjci9y/c4Op6Qm6vR5zK5O02h2mp1MUSyVSwqV0sMP+3iaz02li\nukKrWSWdTTG/PI/iWmxtbrBba/CpX/48yVQWW/oRC88NaIYIQuVBLjesP4yOyVFLUIo+uk0wXD5I\nyA8jDkPFIsjjKni4g1YcHi6a0B+xrn1Zi8gEw96C4Tl9D88PYw+Vn6+QQ3AJQgT5E4mQAt216RZ3\n2P7oLbrdLs1qmWRM4aB46N+3a7O6vMrU1ASu69JqFtETBeLaNI1WhXwhSTIpePLxC5j9JrbVRdUE\ntWqdeDxJvdIC1yGhWkxlbSZn08xNqximy+zMAs2ODVIllytQOXhIz6uxsDCHZXcBg167RrdcxXEU\nDg4OKJVKaFqMcrFCpVTm7Pkz3L17138TPDg8qGK7CucvXGJv70P+2X/9P/Ct736T5aULLC8t+OUm\n9RL37z+g07E4v7iA0/X40qc+w4UL5+kGhGCekCiKhnRs36ARvmER5ZEdsPyEiOyAqNxPrw2ngfB3\n13PRYwE7DMP+YaNyJHGD4mdf1/lpknCMj4yOKYF+UJWAqHooMwNpVcS4o/hzl18Etfg6R04JAHz+\nY/b558A//4ddSujtKCD9VhFh4jFM+grhF/Z5nhwhAPbPGZlIkCNXHBLyhktU6Y6gIseS4/4LF9kv\nmOWE8KHqjvSGbTC8oQANYdFy8IIOiIsDQEQYqonWx4XnDT9HgRvD+4nonkhSn4HyGN6TDAqfxWA/\nRQZhBWVoDY9fQ3T/MC8pvWEoU0o/GSzC5plhuIqwaFbxGSD8Hf0cGwJP9RWwcB08y8TsNUlm0iR0\nhZgiUaQHnk1C1fHMNvduXyWfjVPZe0jfsH1UrqJx7eoNVtbO8P7bP+HJJx/n/IXT3Lx+y2ctrzSZ\nmEzR7Xd58GCfdDpNzyhz+swxNtYfYJkdLl94nFgsRrFcpdsxmJiaRKgKyWSSbD7H/fv3iacznD13\nnlK5yPbeLv/hb77Biy99Hqdfp7j3kHg8Ttcw2Xy4RXdjj9mVc0xNTVCpFpkq+BPT/v4+Uqh0+xbN\nTp+p1RS9nsHs9BTFh7dpNSs89eQlep0Wjqfw2BOrmLtFUBXu3r1LqVzlzBNPocf90JKiKD5SVPGf\ntYrvLQ16QA2axvoE2UpEFsLvASzpg3GiYcZw3EOvKSxGDsSAKAhKiGHjznDfkWO5/nvhSL9RLUrQ\nsTyYJNVg1vREyD/qIkQQJgs9ztBQCoBcquexfvMK1Qdvk090sM0+sbifi2s0amQzGU6dOs7U1ATN\nVp12u42uxbFaTTpGFSWepqskiGmSw8NNkrpKJh2n2zExrD7tdpf9vRKPXbqAYXXQdBOjW2Fnq4vj\nJZicPsZTz7xEo95C0xUqxW3yk3mEJtjZ2kNRbIQax3I1NCXJvZvX+cqvfpHXX32FzbsfsXZylcWF\nGR5ur1Nr9kml0lRrh+jxLHu7JY4vn6FRN/nCy7/BYXGPdDqJ7Qo29zb5yu/+FwghmJ6e5N//7TdZ\nWVpl484dHD3D6pnzyPBZq8Mx8d9p7xF9Fm7kR0zkI+/8uP4RIsxmH20YKePfRWag0NkYXpMDUqCo\n0v9Uhuf2DxPo8FDe/v/Gfk9UaKWvIFUhh0gq6RLTVKQj8bywnXsIPQ9Db8GHiJYJhz9FPbZRNFV4\nvHDLKHqLsfxQmPPxpIPED3t4BJxzhCTEIdR9OLlKCbGYjuu6gM9kL4Nk9KCp4SMCEUw0IRJRRCa3\nYBPFCxg/QmsmmJhG7kEQINtk0F7e9VHwATwlzIcJoQwg1eFxRCTpKkMOx2BcwsJLP6wR8QyD44Zd\nXv3QohLcs4e0LRTXRth9ZLdFz2gzkVzmnffe4sTMBJ7RoWHUWZqfoN9r8uZPfkAslaUwMU2rekAs\nlUdPxHn6uScx+m3QNDptg3xhGjzJ6uJx0vkJrnxwlbn5GVRVZePeXY6tLtGoleg0qiiKQrvdYWpm\nmlw+w83rH3L39h3+8A//kLfffYdu36ZYP+D0pWfImybZRIx2ZZf33vh7clMTpGMJXv7clzh76iTf\n/va3OHiwQ2GmzdUP32Jvd5vlxTneeOMNWs0OPcvha//RP2Frv45hGFTLNZx2Badd8vNdnkej1uT4\nqbPE4kmWl4/znR+8wlPPvUgsnSM/MYUnwbZd9FicAdtM2OQwAPqgiKCeKDCe8PMfStCTznWdYSGq\n5/8egoAG70fkPzx3YLQRIbUOIUqeDLtPe2MKLkRU+jI1ILP1fOXkeu7gXfVDz77nIJCoqL6HFhxb\nBu+TjoYQfeYKGvqkTrPRQcMlkUzQ7TR58YVnUDUF0+yzu7dNPB5HjydRFA1dlaQVFdsxyKczWKZk\naqJAubTvpy3UOASd4Y+vnaDVbtPuNJmczFOpNrDsNnoiz4m1AqVihXqzhqpJ2kaHpbkZyvUGejLN\n2uoqjVab3Z1dPFel3exw5d23mMqnyKY11Hieaq3E8vISit6gWm2gKDrScel1+phWj8ODMs+9+BS3\nbl5jfb1J33SQahpb+iCfncMa6xtbvP3Gj8jlMhDLMTszRTybRYmn0BD49ek++GM8zeE/9Eg6JgLK\nim4TToRRZLMW2W4gC0E9rZS+jx/dPjoRhqxCIfmEvz4apNOU4cTnhXL9Cy6fjIlMDBOI0vMtNGBQ\nxzBQtmrIweWiDQBzj9agKPgFzkINYfdyMOv7HsUQieNzfAVeijc6AP7OXsQjDMKSAbmwDIoAdVUb\nKG7fyvC387wI0tBzUIXne06BJSqEn1R/hFGeUeBGVGCIAFDkEcmuo8KtKj4CMXyuQghikdqSWOQa\nhkMSQVGiDs4dnGVgTR3lOUopQfGISYnwBK4n/DykBCENnE6DpJBgVFGRtHYMzi/OUd3bQppdau0y\nU4UU6+Ut0nFBp1uiunePpfl5dh9uEZMaCkk+9dJn+f73vkOleMjZM2dYnF/gwd0HxGIJTp1Yw3Es\n1rfug6qQz2Q5ffIMhtlG0R2y+TRGT7C2doJ+v0e5tM13vv8tPFclnS9w9uxZpGuyMj/PbV2n0e1j\ntBtcvnCRdqvP0vwJ/t2/+y5f/vJXMNwfk0nn0OMxznz6Jd5/9x0so8vKsVP0LY9mq0u9XkPoCaRn\nMT2TZaN8h8mJJJ1+BwfJYbmEc+8+W3sNnnn+M6SnJpFCMDu3yM5BicmpKQQOmqL5vQoVf0wHCmas\ny28I00eE9E76MN+q+CE7NRxjGIHxq2LcqBqSQoflGWE0ILrtuCIbbonPuScEakwdGGb+TsNuxaoQ\nKJ4WTMh+r67w3dPsCnFaOLZBq1YlmYqxsjyPrq9SrRwSi8UwTQPHA8VTUbUYhmXR7zkkEhqrSwsk\nEjH22yU6nQ6JeIpKtYmqakhVYWJigrims77xgHavzdzyMZSWR6/ZRxoGejLD3oPrZLIJDg/2WV5e\npN83WV5bY/PBOu/euIMQEtdxyGXSGEaHdDrO4rFFHNXnEjTNPkbfpNfpYZkOmqbS6TUxDJtsJs/2\n+jUee2wZs1fn1vWrPHbpKT77a79FJpflL77+dU4cWyaeENhmh631XVZWVkhYJYzDEvrUDHoih+1o\n/vssPDw0POkbsJ7/qIOcug9193WUN6IvwlpSn1sRUIZ6wS+rOWJyZNgJJurhDVIQhGC0wOZSVGTY\ndDgiO1F9EqYhftHlEzGRDWRahtDzIbIm9IJGth970Y5yeX1PNXxhRl+28Zya7ynhC/XAYniUUfqo\n8OT499HC4eF2ymAiGD9GOFkfHdrjYwXnqPjz+DaDCRjfGkYMhTG856gV9nHn8qTjMzIMfx2ZwI56\nDj4NThD6AoRj0qkcktRc2pUyHaOP3a1jA47Rw7ZtFqcL3L6xiWt3kDkNXI9YIknC9Xi4+YBsbpoX\nP/2rvPvBVfqdGvGYAM+hUi7z4nPPUjzYY3fnIc1GjWxugqXVZQq5LGvLi2iKy3R+gl5fYbe4B2qK\nWLJAOpfFNE1ajSZThSmeePIyd9e3ePhwiwcbD8in4uQyab+OzTHY29vj3LkLdDpNpHS4eu0KS/OT\nuGgcP7nGN77xddY37vPVr/4Od+6uc/bCk7RaHY4fP4EtPbKZAmajSDpVIJ2f4GB7k/n5RWw0uh2T\nF158CVMoZHIFn1LJdpmdnUZRdUzHxrZsdF1HVfTIcBwBbVfCnMOoPECQQ3ZH643CraJ5kNGc13go\n/1HW8vHweLgdDK1xn30kKKoJ82gDVRfuO+oh6IBl9Lh96yPMeond3V2WFmYBME0TXdfp9/s0m00Q\nOofFGtMzc3S7fZAq+YkZqo06qXgMz/PodvtkUhlcByanpqnUajg2xGMxMrk8nV4P1/XI5Qq4XgpF\nzaAqcZ555jmKxT1Ms0cilSaZVtnaKdEzBRcee4ZWu0HpsEjfMPBcPyLTaHdYXJrGdUxq9TatVpda\no4ntQELEUDQVw+gzPz+HUDz+l//1fyYW03yAlnT5v//mr/nq7/0uv/+1r2IaXVrFXZKaRCY0luem\neO2V73Ji7RyyuIuWnSQzMcfE5Dyu0AEPJWQqOmJMHnnnA1vV/360JhWGhOxRTtlQj4yP+zjfYnSb\nQb4tek0MjeBHc/0/f/lETGRHLeOAgnElG/57fOIIfx/EdY/47ahJwB8cP8QglGG+AIbWRXTQiPz2\n6HEYuzZBGPAMfw8HLPQ4xz2w8esNn8EAGu+Nh3QevTfXdYN8xzCEMAiPjoUOfpZx4O87vHdFDb3a\n8BmE4JbgeUiJhg+aQPHAsTGbFdoH67SsDqpr0m82abXKpFNZKq02qyvH8awOltEmprjcvX0LpEM+\nn8PTXFJxuPLuT1leXaFZ3ePa+1VOnz7NZD5LcdfiRz/8IdlsFuHZ7G1vcvnJKWqlIu1mHdU2mcgk\nkK6N2e1wfHGR3WKVTC6NKy0uX75MNgFLK8ts72wyMz3Bm+++x9racZLJOPvb2yQTKTRFodtpce/u\nLQoTU6SzKguLk9y8foOZ+UV+8up3yKRVLl04zWHpAC2ms39QxNyrcvzMOS5cuEC5uE/9cB9VUcjn\n83SyWe492KLc7PMf/9M/YadS59T5S6QnJ8k6Dt2eCYrA7ZuoMR1d1TD7BvGEEuG8DA0lPy87uowq\nlIGnFCHhDhXYo6onCniSgaIZM3zGoyEfw9JxZOI/8ADCiXSgwIQf1QgNWgWHyofRmVoAACAASURB\nVMEBzWqFrXt3UIUvi91uF0WRlKs1DvYOmJycIJ3JkM/FadV7dHp9FKGh6lUc1yAVj9Hrd9FUnXqt\nTS43yfbDA5ZWjlEql5lwVBQ9je1IOm2DZqOHZes0u31u3b7Hb3/ttzgsHVBvtDEtycsvfwHD0nj9\n9df52u//U+7fv8vf/PVfkZ8uUC6W6Pct5hQV0/LY2dmnVm9TqzZxXR3LcRDYqIrO3NwMibjK9WtX\nsHFQVJVYMsXTzzzBW29+wK3338SwTD766CYL0wXu7NxlIp/j/bcq9HoGp44t4RiSVruCcDukVJtY\nehpH6KjxJB4qRN7/o6I/QjLM9x8x0YXfRYFjoVEc6qtoX7PoGI/rtmjT1NFJK0ROPtp55Octn6iJ\nzC+eFYNi5Wh1d1RxR29+hJ0gEsOVUg7qYJQQkgUDxY7yaMw3ivY6KkQXTWgfNZFEl+gA+9czVkAd\nnHs84R7dPypQ0Qlw/PhR72j0nHJgCUfDQtHzRYX1qHj5+PZhSCB6rug5B8fzgsafSKRjEvf6dBsV\nijvrrC5MYhsdYpqL0TwkoSrsbV3HsQySMZ24rgAp9vf3oSJwHJdOu00hP8lf/9W/YnFxmVQmxzul\nbfKFSeYWllA0lVwuR610QDyVpNvt4tkWJ4+t0q6VMHpNUsk4jttna3MXCwW9HWe3V8HuNZksaLTr\nu7iOy/TUAmfPLPPRrY+YnZzwJw/LwHE9Eskk/a7LweE2n/nMZ/jgg/epN0r0vT4H5UPiiSS37t4m\nP7nAP/nHf8LdBzusnTzLO+9fAdPGtTsktD57uw/otFI4pkN6coLP/fbvclAts3TiPNvFIlNCpZDL\nkMnm6XZaxOIaUijouu7X2mg+WtDvFfXx4xdOcuNWbjh5hJOYFkmshxHrKPx5JI8cDSlG5Ofjogsj\nMivCtiF+jjd63aF3FlVhvhHnYhpdXNcvivaAQn4CRZXs7+3QqLc5f+ESnU6PSrmBaXi4jsC2HbL5\nFJblEIvF6Hb7TBQKuI7ENgw8RyeTmuLSpWe4euMmlWqdZDpJYfI4pg1aLEWl0WRm7jhCi3NQbvHy\nF79Mt9+hWmnyzW//gJe/+BvMzK/heGlm50/x8he/gtGu8H7nDdKJJJYtKZaqnDx5kfnZHvfvr9Pr\nW+zuH+KYXaQnaNTrgIeu6xw/dZJSpYgWj3HvznU6tU22jSKNVgO336Ord/illz7FzvYW8bhOKqFT\nPtjmiRd+iYeHO9SL6+zev8X03AK56eNMLp9A6BmEkgjiwcEkEo00DcBxoymCoQypg3qx6HsflRcp\n/WaYIVBnRLdEnI0wHTOgOAvZP4K8/S+iW49afqGC6P8vlvFCzmhcNvw9uo4vYuyFGj2eN1ijPbKO\nOkZosYR1NePXFFUW45/j1zF+f9Hr/rjCwF/0WUUZpMPzRieUsATg464p3D56/nHjwLe4x695yEr+\ns647LMCOCxUcl6vXPqRaKiOEpNmoEo8p9LotdnbX2dtZZ393A9fpoioWjmtguRaFyUlQFbITBTQ9\nzsTEBEvL89QbFfrdJq1GlWQyjkShWKnTs11yU7OcOH2Ger3OysoKyXgC17Uo1Q5wFRc1oVBqVslk\nk7TqRVYWcizOp8mmBPmcRi6tUCxu0W5ViSVcOkadw/I28ZSgXN/n/LnT2FaXmAa9Xg9Ni9Hrezz7\nwmf5r/7kv+GFT3+BY6cucv7CkxwUq6TTaX78ox8SVz1OHZ9jaX4C17bYWN+iXKpz7PR5nn7h09zd\n2KHetZienefE2kl6vR59y8RxHBKxuE8gLX1DIiqbRxXf+2MTro/KlxCjLPkj8i2jY+j3uRpnsR83\nAKPvZdiNIrqOkAXgE0brYsjRF17DI9uGx40poKsYtsWxE8dJpLJ4HjQaLYy+xfFjpxDoxGNpNE1H\nUxMkEmlmphdQhUKr3qDdaCNdODjYp9Pp4LoeQqhUG01+8INX8FzBr335tyhMLLGwcIpCfplWy8F1\nNOKJAo8/+QKtnsmHV6/zcGsHy7LQNI3/6//4l9y4epVGo4FpGMzPz/OjV35Cs9kmn8vRbXeQnmBp\nYZljx05QKEzQ63TB85CuRyaTCZ6thqolaLX7xFNZjK7Bqz9+hXa9yr27N5mZzDMzXUCPKVx97w1c\nq42u2KyuztLvN3nzx99Hsy1OLK5QyKTRFWjsb3Dv6nvEVL9+VpWeX9yOF5AaBH8zJgtK0GA1ooOj\nkaBoFCzsR6Yi0QWDQuYo6fNROsJn6vfBQuN66R86icEnxiMTBBCNkW8/LtwW/W3cU/Ld0vFJ51HO\nuei+45Pn0Q8+ogjC1GakHiuMHY96Je7g7iLR47E7FwxaMUSIjB+51ojV6vtXQcDyyJzcsEuAF/RD\nC48bbq1Gg64hMpEjCFzFo+UBQ+s+LCkgyKFJdOHhuTZ+CaGLCmQSGufPn+XdH29hWza5XIaO2Seb\nzZM9k2B/d4c0KmavQdszyBVyeJ5Fr9+j17eptmroqs6DBxusHltj7dgkttvDtNosLszT6ku8RIof\nvv42X/7iLw+Y9Dc3H/L45XMYZotYUlCq7tEze6wdXyWVSJJPx9jbuk08oSCkR7vdxvEkqh7n7Ilp\nshkFTVHZ2dmhXt9nZjrHw627GL0OjvTY3FxHUVMUZo7Rt5N07TT7RYNf/8ofYNs2pdIhi4vL9HtN\nNHp4dgWjWaLXavCbX/1dEqk0UzNz7JVq/Mqv/SbNroEtPVLJOCuLMzSbTWRgqCQSMQzTL0tRtSEF\nlMC/dkURSDF8D8Jar+hkM1j8BI4vl4En5kpGWO19/j0tFKqIhHkoalivJn3/yXN9qL/rBLIuhohf\nKQfWtx9W8tGSUvqNOAUyaHUfKMWA/8/3ElykoqCqOovHz/HOq98npjoI12VjaxvXs6nXa6TTWb8k\nxwVVSWKbXRQhcBWHVruD1Fya5Sqry0usLK2wt3dAv+9hWxJpWZiyQ9HZp1ar0WobPP3003zw7tus\nHb/I/QebXLz0OE8++wyvvv4qNz+6w+ziKulYgq5hcuf2Ax47f5xv/u1f8rnPfZY333iVZFpDF2m2\nd3ZIxDXMnsnffeeb2A6kklky2RSaKnCkghe0Xkql08wvLXL23DkszyIW07hx7QpqIoXs9ul0+7Sa\ndaRrYXSaOO4Cs3MTWJZB3+xRaXZYXF3h4eY6hcIk1WoFRcS5d3+LZz79BTquCModRpewy7QWMe5l\n8D8pXV/X+Yom6A0XisGQEDiUOVX1u4PLsIZNyoC8wff4hBd0KZDghr3HEAE7ia/QhPSCOuAwVP6L\nLZ+QiQwGMN4xVu+jwB7hMh7C8P+tokrb3yAMkQT9dEZ3fjRJfdQSpUkZ0FoNUFyjlvBRk0r4OQgl\nRlhAwmv0pDrK6yjlyGQ27j3+rPjxkd6h9Ait6TB3OJ7b8J/96HUfFV6N/h4uMaEifco2pGOzH3AS\nxnSV7b0djs3PMpXN0253aTerYFucWVtBOiZm30JTVCyjTyKuY1km3W5vEMqwbZNYMoXVt8hm0+QL\nGVzXplyuMjk5xYdX3mJm9SznT13i4uNP8m+/8XX+kz/8Ax5219F0lWvXrjIzN8H+bpV6vc70zBR9\no0WzUSaXSWGaPWxHoKnCD0ciwTJpdZrEUmnqjSq5bBLXU+j129y8eY252WUcCZVqnUxGZ2p6nmKp\nxuzyGs+98BKbW+t88MEHpBI6ly48ztLCAumE4O0332RmokC9Xmem22VqbpH7D9Z54qkXiOsqqvTo\nNep0pSQ3OUUqkQx67QWGnCqJxWKPoFyPGpdxD31kzKJG0UAuGdDDhc/+KEUy7o2Ny9A4UGocLHWU\nPEWPLYT/fiiKhoeLooDrSNLZAp/97Od4+4f/nkw2SzaXptGocfHiY7iWSavZpFKu0etZqOg4noWq\nCcBnNFlYmCGVjtNsNnwmHSkxzB56LIbjWDiGxwfvv4enxLlx7TrXr19nefkYjz32OO+++z5rFy7z\n1DPPIYSLKg1ufvAhl596hrimU6uUcaXC+sYDNF1hc3MTHBPFc4jpKplMBkUTTBSmKJWqaIqK4zi4\nHph9i1QiTiad5Nd/9UvMLa3w3b//nh+iRWdhecXvkN7p+rlS1+fpabVaVMpVer09PFclHkvSarVQ\nlRjHVk+wdirOa2+8y6XLT/jcsqris3WM5ddlZOyG4yAI0dqMFVY/ogciToTjRYAfivRb9UiGYegw\nB+fb7qOyKvxQtzfQQeOdTX728smYyESYH3PwX6mj82FEmScQKMJnF/C3Ofqljc7sI4MgR/Nk4e+j\n+4Hi+d3JfIqc0Qc73NeHs2qaNkI3JaQ7FIbBxDn6QhNcXXgPigRXeMPpUwb7BrkD34oO7tV9NJbs\njhSQ+7+p0rfGkEFuAl9Qxg2BaB7R/y28x1EvNwSKhH3NpHTxbMCTJITH/sY9esU46XSc6uE+J6dS\n3L3xPl/9rV/l1VdeZWF+lrmFGW7f+BDMVhAuE8QSMTodY+Ale55HOpOk3evgI3B6nD9/DKvfo1nf\nwTaqaIkkrdY+b7xZ5fNf/C3+2X/7P/GXf/F1Tq4uoesJXLNNv98mN5mlb7RoNcsgXDQBlunQ7TaY\nSkwRi6dIpW0UVafT75BKJZmdncC1WuRyBdpdk1w+w2uvfUAsmaJQmGV+YRnDVOkakjOXz9A1oG86\nHFu7wAcf3Ob02kn6zSaYPQzLwmjVUSezfOrF56k2+mw+2ODEybMc7u7QbDZJJFK0Wz06hs2Jc+fJ\nTEyjJTRQBZ4UJPRhruIowyI6LQyiFIPC9BHN8UgeI5x0PM8L2kEdbeDZ7tEG2s+KYvihzJHM10BW\nCWoSw+0UQLqgK4J2p4PjGiQTaRJqnG7XRlWT2I5LudoglUpTLNXAMf0C9W4XKSV6DJLxOPE4LC4v\nMjGdw/McGo0GQuokk3Es28A0+pxcW2V3dxdNE9TK+0zOLIJnkytMUTwsc/a8x9racXa3t5hfWmJh\nfp644lA72Oej61cpF0tI28LyQNcFJ46v8I//0z/ie9/5f+g0a357GNfFcRU0LcbSwgIHe3toiiCu\nKqT0FLF4Ek/AK698h2Nr55ifX6DZbnH+4hOoGvQ9QI0hPQUtqZPW4rjAxk6Z1eUVFhaWsByTh9vr\nmIZNIhWnMDnLE089yUHdoNHqkMzP+LIgfVb60ChXIu96uKhiNGo0zmmnqKHR7qNQo+M9otuCSJMW\n5FXDEgBPgBpWgjBwB0D6xfIh0vwfAvf4hOTIAraCIDQ4Dv0cvixR1gyfyibagTlcPUXHFRqeouMF\njQSjsfcwYa4wjMuPowkHL3hA5hueO2QJj1qW/vF9hR4iyWDUmxy81OiDZoSKiKGI2AgB75HHRqAK\nHzatKT6BsBIogLAwOewOqyli4J7jucF2Pt/aoLdZOIFGkJDjSMmPHSn5KLGxVARCEwgVdnce8tTl\nC9i9BqdW5kjHPG5dfZNMwuXmlZ+SSQlSSZVuu4KULTxp40kH0+rTajXwpEMsplOv19E0hVarhaZp\nTE4VWF6Z5fqN99nYuotj9zDMLo16hf29LVq1Q773nb+l12nwp3/6p8zOztLvd5maziMUl3JxD8c2\nEZ5P29Xpd6g3a8RiCbo9g263T69vY1sSRWq0mx32dvaRLlSrVXq9HrGYxi99+ln6hsHDvQNSmQKb\nW7ssLy9j2zbvvfc+hmGQTmVA2pQOdinubjE/maVysM10LkMhm2Z7Y52DnS2mc3mw+5jNGvX9h+zc\n/hCrWcTrVjDqPseiKj0UKXEdC02PdBaPyMdAZqQ3suK5RxO4CommMFjDfEn492Bc5aPosY/LG/+s\nf3/cEu3iHjZk9Bu52qRkl9rmDbY/fJPO/h28boMnL11kfn6ZTs9manKOdCqHZTocHBxweLDH8soc\nZ8+t8fQzlzl/4RTLK3MUJlL0ux06nQ6KopEr5On2fY8/l59A0XQSiQRSSjrtOtKzadSr6DGNi5fO\nY5p9EvEYZ06fYOPBbTT8BrOdZgvpOXTbTY6tLLE4N8fkVIHFxUUMo0c2nQo6OVvE9ARCKBi9Pgd7\nO0jXIaapvPzyL7OysoyiwNLSAoqicFg6oFytcOGxJzl76XHmV06QzE0yNb9KMjeDGstjyxip3ByZ\nwhLnLr/A2pnH6PYsur0eM7MT9PpNatUDNFXSatYQ0kUE+ABVKCP6UhUKaqgLFQL5Cvo9ShekO9g2\nilaMLuMpkOH3vp4Km3sGWVZUxEDWlIEhM+TVxXsUHf7zlk+GRzZY/BAYPApTh9EHpqq+ex7mxJSg\nSyqAHMCQfUtDDeiuojRRg0PJkAlfoKAMrVUZhnP0EW/Fv45QiUfQOIMXfmjJelIZejnB9QvFz0V5\ncpQ+RlVVP0UoRDDpjPZkUwMLRYlYKq4YhpAGx/IkijLsCRYWXruuGzB1eKCoAXNCwGrueggpH6Wb\n8S/uUcQbIqBACsOVfuJcSsnJY8ts3LiCalpYjRoxr8fh7haHThdFBSHi9Dt17mzeIxG38UyThcVp\ndh92EAGU2rZcpqanqNcauK5Lo1RFOjbNZo1kKs7K4gIeLvFUkk6lycTsLPMrx7jy4Q2+8a//BX/w\nj/4YhEk6q4DSo14t0e93sEyTbDaLriaIxWIc7O6RTGbpNA1SKZ//zhUSIWK0Ww3WHzxk9dgy+UIB\nw3b46KM7TM8to8XjuJZGudFgcWWVbruO4UpWVxZJpZM4rklCh8OdTS586jlqVpPZmUn6nTaeZdKo\nl7l8+Xl2d7aol3S6nTb9Tptup8Xcwjy2q3DnRodf/vLXaNdrKLE49UaL5eNrQWseSZBaGRT4j78f\nA2PMR4gw6mH9/Enm5/0eeswDyrKP8cx+VhicI7pIJHXB7tYdav19KhvXqRZLlNev8NgTzyM9m3yu\nwB/+0X/G6z/+Pt1uy89r2iaLx5c4dmKZbreD6xm4roem+UafYRg0m200PUnD66JqMeYXpukZNpbj\nEIunMO0W8XgMyzbIZCYxTBvHMVmcn2HlxHFqpUOuX7/Gzs4mSVVDUwVS1fjspz/D0twst+9vUKr6\n4J50Os3O3i5zs9O0Oz08YHp6mtmZSdIJjWq1zPT0NO998DZzs0ssLC8xPTOHGotjeBqnzz1OtWVx\n8eJFavVDTpgeb775BidPHGNz4wErSydJJrK88MJLnD69RrNVRdULpDJ9JiZn8TzJgwcPkJ5GYeYY\nrmn6jDxhvnJsWD3pg0FwZcD8IwKnOQqWY0DA4H8X/q2OGP9ho2LfAFfwFBfpOSA9tBC6T+DkhZma\nMLQYMu0LP8c7QDT+AssnYiLzk8MiCPepgcMVeGMBiEIIgfD85GEYOlNVgYrPqhF9gXxGABVHhg0o\n/bOoijoIveEG4TEC/r8oRJ/hYIW2QWiRKBK/f1ZwzEE/JsJ9hwz1QqqDRphC+JZx2M9JRP7vQRDS\nGSbnfQt7hGzqESURTnihZPhWdOChqYJoVcdI/YiUoARdYsPrlkOghzrwev14uUQOyED961CRihxE\nehUpkDhoisTtdehUDyjkNbY2b9Gt+00le1h4jkIqnabXarC8MItjNuhrNqXyLtmJFIlEglQ2RUz1\neRDPnbtApVanXmuixnTqzRrNVpdUukt+YpbS4QEzc7NIKXjq8mlu33iXOzfucOXtaRYXZmk0H1LI\nJsimdHoNhdm5OTqmidnr0m13iOspPEVFT+pUqw1ieoLEdApPSmZn55iYmGR2doZi6QDHkRw/cRpV\nT5DNp9jarWMZktNnTnP37n2e+fRpdvZKgMfy4jQxRYI0ePDRFQyjRyKmcOrcaQ4ODtCF4KMbH6LF\nUhgdB02VdJolCrk8k9k8D/cOaVktdjfvomVnyKZzqI5Fr1knlc8jpSAuoNPvo+pJVEX3rV1hD+TH\nb4jud+BWgm4FoQyNl2ngi89ImNHf1jedXG8YFtdFhN0hbJg6kgYYgpX874JN5BAINYy0uAgR/U6h\n3Shx870fkXbL7G1v4VkmrmWzFZekUtOsLh/H7vdptVosL03RbexQyE5x7sIptncf0mk3adYbqGqc\nM6fPAx7NZpdWs4/ExHYdTp8+SzKd54Mr19DUBPmpHKqm0Ki3mZ5d4syZc9y8tc6lSxdYPX6Mzc0N\nbNum16litOs0zT4njp+lbzqsrpymeriLLgXLM/P8m2/8Jb/9O79BoZCjVC5jmA71RoNELM7Wg/sk\nVJXJyUkcz2V59TiWI5Cu5MObdxF6nLOXnuKLv/bbFOtNcpMTXMg+zr/5q79kanaRuaUVPBTOnTtP\nLp2j3uqBmiKT18nOLpGdnWFqKkOv00AtV2l1eshYHXf3PtNziziRjH/UwFBDnaUMuRM9zw2GdSg3\nulAH4eChLPnl7SLsgBBOlJFJSahxFNXD85wB96tEoNhdVEUgPb9FVb9VodWxUPQUuZk5vHE8wc9Y\nPiGhRT8iqiiKHz4To2HAwTZi2OvG/91XrqGSBn+ABujBcDKMDJquqHi2M9jv4+D80XOO1EupUci6\nRFMUNEUZwJnDMKHfMsEP+WlC8d1o9dEygjDsp0UQZ9Fzj1/Lx/0W7SEUfg7DnqNQ/wFSUwxpqwb3\nKEf3DZ/TyKmkzzogvNDKc9EA1zG4c/sGlUoZo9PnYPcAQQwUHUGcrZ1DEqk0s/NzaJrm17g5LnFN\nIxnXUXCYyKfQdJfllTnWt+6j6AqxVIxOr0u+ME02O8va2kUUJcPD7UMWF1bo97v84Lt/x6lTy/zR\n738ZRVTodzZA1ul2i9Tqh5w+c4LCZJ50Oo3p2AihkkgksEyXTssHnTiOQ79n4jgejXoL6Qnq9ToL\n80toaoxELEGl2mRj6yEIjbmFZYRQMU2TdqNJr9thdXGB9TsfceHUMpmEBLdDXLWQdps7H13Bdfsk\nYgq6rvpNRV0Hq9snk0yhaxoHB3voCZVnn3uayakC0jOpFvdIx3XwLKQX1mnZPhpSsVEVE0W1Rsoi\nfNnW/JC38IiG5Qeh6eiqQDRsP8wry0GfPFQCOH5UPkZLW6R0B+2Q/C4HBHVG7vD3QShcGZNXST6b\nJJuMYXSbzOTTLM0WWFycpniwzY3rV3jn7dd46/Uf8ewzl0nEFaZnJpifn6PZqpNJJ8lkMpw4cZJC\nfoJ2u02lUsHzPFKpFJ4HsViCVCpFuVzk2Wefplw5IKbB+bNnWFlZYnFxkUQ8hWd76IrOVD7PnZs3\naFTKHO5ucub0CTzX5cGDBzz//Itsbm2RSqWwLItzZ87wzNNPMzs5xRc//ys89cTTrCwvk8nk+LM/\n+zOee/YFkukUrgeG5bC3V8V2dQwrxulzT7Gwco5K3UDoKZRYElVLcG9jh8efeYFas8dHdzfRY1lu\n3vyIW7fvsrRynPWHO7T6Np/67Jd44plPU6oaXL78Ao2GRbdn0zdsms02129cRVUVVE1BUQWqpgxW\noRAYwr5Noihi8H6G+lNKiTsgQhcDWYlGhHxdEKR4pK9rhSdRPQvFc1Cl9HEDeAirTYIm9658j9e+\n9S+RlY9458d/w/0PfkCneIeY20NXf3GwxydiIgtdUVX4k4+qBCEy6X+q+N6YUII18M40MWZVhhZl\nhD9ME0My33DbMI8VhhqPQvqFa5hXGFfuIRrHv25/ItACpNcg9hzkHkYZocXHrtFtxrc/qq7tkeWI\nUI1/EG84aUX6mg0mtaDvWmhADA4nvWEtyFjfMSUQZhWJVBQ/gauq6Ikks8srKHqC0xcus75fYeHE\necpti6XjZ5iYXsSwbPYP9iiVi+iqhm0ZZFJJXMegVi3ieiam1fctOF2j3mjR7hi0OialcptG06Jc\nbjM9s0i1Wqffa9FqlVman2BhJkM2ZSNosjCbJhX3SSy2dh5SbdTp9XokEikSqSQSwd7eAbgK01Oz\nTE3NYJoO3VaXw8MSB8US8ViKYrGEquq4jmR6apZ6o0U8leTU6dNMTk+xvLzI7RvX2Lx/B6ffpFs9\nxGiVSOoOrdoeMdXCMRtoqouQFt1eC8vsce7sSex+D+nZaAK/ZiydYW/vgKvXb/KTn/yEQiYNbp+/\n/+43+Vf/+78goQkELornrxv371E62ENTQ5RhGIUYNiaMNuEcvG/40Q4BwViOGj6DdykIX/sy7DFa\n/+N9rCxHof+h/Ibr4N1UhZ+fEQJFgBoo0BMn14gnUyi6huO5GIZBqVgkpilYva7f9kf3kF6P+blJ\nMtkUQgh6PQNdjeE4Hvl8Htu2/W7byQypVAbLcrBMh067R7VaZ2tri2QyjuPYlCsH5HNZWs069Xqd\nfq/JtQ/fRvX6dBpFDnfv0+/U6TRq9DttOp0OW1sb1GoN5ucWmMjlwfHIpzLMTc2QTCR44vKT/Mav\n/ya9Xo/Dw0O2tnfo2x7pXB49lkCLxdne2Wd6fpGZxVWe/6WX+dRnX6bZ7dHudFBUWH+4Rb3ZYHph\njq/97u/hAI8/8QyHxQqvvf4GfcPBRcNVE5TqbVxUXv3pO5w6d4ml5TXOXniC6dlFLl68iG0ZR4Z6\nBzpt4I15uK47CB0PwUUuBK2hxpeBzHi+Dg9lLCpbXiBLAoek5vLBmz+gtPUhan+fqz/9Fl57B9nc\nxCjfIy7bqFb3aH12xPKJCC2Cn3RWPB9S5zdoDPM+4SRFpM5qtGYrmsMJrQUphyFJ6TlBshMYR+Qw\nGm75ODi+SrQxuzdonxEyiIf5PVWE8eVAWYjh8cPlUTh0QF8VbBdWexwFV35kPzk6mRMJAQ46Awyu\nRww+vQGBsB/+9Gs/XMSQAz8QukfzKSJky5N+vs71ws7aOvFUjhPHV+hUDqk2apx+8jl6is4/+uP/\nku9965u89sY7zBYS7B8csDibpmf0yRcm2T88YGZ2goPiIZVqnWx+BqHGadQ7xPQUbVzKpQaXHnuc\np59+lu3th347COGgCI/i4Q7vv2dQyGXI5eNUyyUUV2AYFv2+SaPRRFF1stk8hmmiSjBNm8nJAlO5\nKdrtDmazhe36Hn0uO4EjPOrNFngunV6bjmERS+b5zKdfotHxqNdKSKlSUCCjhAAAIABJREFUKh6S\nTOk0Nw7Jp2K0UxoHlQ6m0SaXS2EYPVzbAU2j0W6Rzs4yOTFBuXiAwPW9UUWh0elxWOuwemwNEhkm\nZhcplw55+qnH2D3YwfFsGtUS6dwE8bhOXFWYn8zjupJOrUa+MOnnghXwPCcgClYGhMChKIgQrRua\n4GJIFBx9Dzy8IG/sl56oyCDX4g2UXlQufMg4I7I6AAWF9G/4XSNCpYfwQ9ee56Kq4ErByTMXuP3h\na/RMl36zi2dYTE/NMj+3hKIorBxfwDBLNBsVUskYU1NT3Lp5m2QySbvbwuqbTM34Xr+q6sTjcZrN\nDqqqYlkWxWKZeDyOYRioqs7u7i4njp0IyjoOefLJJ6mXd+m0q/z0J9/hsQsn2Hy4g7Qt7t+7Q7/f\nJ5GKUynuI22olvZYmJkEaaJIk4Tuce7UCcqVBpVam2Q8wZ//+Z+TiOnEk0m6fQs1ngTPJpFJY1gm\ny8dWef6XPkPPMukZfWJxBUXxuHjpLEa3x0svvUgmn0PT45TKNTwEeizG6XNnEYpCq13j6rUraNhM\n5/Mc7GwzM3MMLZZkbXGeWCyG9MQgVTISQvbkABo/0KNKiFYOqcnkaNRIBshoJVKiIYjQ+/kem6r6\nYUQPH6ugKzbCMVG9Dt16EavbJKELms026ViccrWEbbvcvv+/8fSnPssvunwiPLJB/VLQwiHsEB3t\nzqwMUIMRhuYjvJmR4ujw8BGoeWgpCMUP9YVenqr5VufA6wtWJXKc4UmGYZVovVcYWvS7JCuD7QTq\nI11SR24/QJmFYZewG7WmisHfBLmt0MoJLZ0jO2I/crn+McPuzWGPMWAEIeRb8N4AFacoij8xBi1i\npfAGBSAhCkoRgpgiUT2HeumAC2dPIl2H5bWzoCdZXjvHqTNPgMiyuHqKcrXJweEhU9MTtDptXNel\nWCySSKR4uLXH5MQsnpKg0TTIpCeYm15Behpf/Z3fZ2pyjlKxyGs/fYXZmTQn1hYxzDZz81PEExqH\nh/ts76xj9g36PRspFLr9HrYFJ0+do1CYJB7X/XBlMsbc/Ay5fIbdvS32Doo0213qjRaGaSOUGLbt\nGyfrmxskk3HAZX56gvLBLjub6yjSYnl+CgWH7Ycb/Od//EfsbtyhWd6lWi0zMzNHt29QKtcRis6N\nm/eoN9qUSxXu371HtVRC1Twc26DdafhlCJrLwvIMhcksegyWFya5cfMqjtUjn0vzjb/4P4lrEtvq\n4jl9FmfyXH3vDaxWFaSN0e9SKx2iCwGO4yPEGHo+2iDk6Ct5VdVHwoUjTDFh0Yf0EEH+Qyh+ofuw\no7AY2VdVVVQFNFUM5FdVhu/HUQQEiuJTb4Xhqls3b9LrGZh9i3ajTavTJpmKs7e/TbfXoN+v06zX\nicd0bNtmZ3uPZDJFt2Oxv1dmanIOXI+9vT3aHYNarU4qncZxLEKV16g36fUMqpUmejxBvdlAUWF7\n+wHf//5/oFHdx7W6bG3e59rVD6hWa3S7XTqdng9acPvs7dzH7B1w56O36PV2Odi7Sa+7w/Vr71DI\nJZmZLiAdm8nJSaYKE9QaTaam50jn8jiuxJUqufwUvZ5BLlsAl0gJhM7D9R3iSoJ8Js/F85epV5r8\nzm//Hr/6G1/hl1/+Al/40hfI59OkM3EW56a5dOE8rutiWDbFco0bt2/jeJJ0OkNYaB6NTA3GOYpY\njuqlyPZCBO1/pOKv4Bs5Y8u4PvRxCA6qtInJPnRLeI2HtPbvYNUO6VTrVIt12q0+na5Lvekjgp1e\nmfKD9z9Wp40vnxiPTAgRAmWQweQx7nH5AIrQewl2jPTX8f/tDrwuGfCKSUUdIv6CFi4inAwjKMDo\nIA8tFsc3WsHv+yUE0lMJE+FKULXuX5scbCul4yMBFQUpHf9B++ZwxLMKC1v9+w0r3d3Aewy9yLAW\nLjpXKYoy6DNGQKIaYlAe9eTCZxV91gPrIXJsGXiFwWSGiHheLmFQKrS6QKB5LpqwwOvjtPa5fniT\nTCLJO2+9QiqdZ3Fhhb2DfVTpkUnn+e/++/8Rz6hx98ZbbK1fp1ouks4nEbqGGk9huoKF+RVm5pb5\n6KMNZuczCD1JKpkjlc4RT2h0u01Khxsoss/U1BQ4FpP5At2uzskzJzks7uK4gu3dA4QQTBdm2djY\nwLIsTpw4RipmoyLodtskk2ny+SzNdompmWU2Hm4zk5mj1WkTTyTY3t1DqHFKlQa5XA4pBZZpYJsd\n7t+7yUQ+B9Igo+to0iOXSVA6NHBNi46QOJ5GMplmv9hC1VMkUwVSyTQCSbNVYiKfpnRYRNUSaKk0\n6VwBs+eAJqge7KELKJVrPHb+Em+9+yHPP/0Mdq9BJpnmtWsf0FhawnVtdnd3yU3P8OGVK34Y2rOZ\nnp5FEgMhEBHi6FFZGobKA+HxDSYhcAYyEjTvDGTb5xt+NESlKEpAozUEQ3kiREyCGIuGDORUAtjg\nGdz+6Cq3b1xjZnKG5Mwkm1aPdr2O2TeYmZ1Aj4GmOjjSJJFIUKtVaHf6bD3cI67H0HQdR3r0exbx\nWAZNTyAVnXqjQzabJ5NJIIRKu+nR7bSZmJjBsyEzXSAej5NJxDG6Hb/TgG0Ti8VIplJUD4t0eia2\nAydPnuLwcA/P0ZCOwLCg0fYLjQ8P99nfuwN8Bk+kMMwuZrdHrVolmUyTSqU4tXqMRCrNlWvXcVwF\nKdJMzUzjOAaK6qFpCpVKi2w6Q0zT2dsr4TgOXdPi6q0bXDx/Act2adVbaEKjMFXAdRW63T6//pXf\n4ft/920Wl45h2EGXbSH8aIvw4y2SoX4I1YJKWKbrl0IhVV+1hMazBKnKoCVWYDxH+hWGekX1fGCR\nNwhF+5yaimIR8+rcuvk6tz54m8XpKaZm52g0OnR7HVKJJMVyC8/VUaSK4kr63eYjMvZxyyfDIwPG\n4+1Sia4+zckR7beGXtSYtQdDq1KNhEVU6XOORVFa43Hf0TDlUfH/0OML3Wo5cryfvQ7rJhB+s8kh\nFlUOQC/j9zHufQ7bs0S+V0f59z7OSxs/1s/iTRx4pkFHaTXgYQMPgY3idVDtBsKs0Sw9oLp3h3df\n/y61vQdMpFX2t+9R2ntIJpEglogjhKDVahGLx9F1nXgyQ73RoVxtYVgujgegUK81URSF9fX7WP0e\nvZ7J5cceI5nQMHttkjGJZZg0Gg00TcN1XZ599jlu3bpNIp5ibnYBvzbIrxmqlGs4jsNkYYpkMo2m\nxbBtm0Q8xfLyMs8++yx4ksW5eQBmZ2cxTZt4PMnExCTT0zOks1mKxSKGYWCaJnMz07z201eZmcpz\n/twpXvnh9/jhD79PtVZmcnKaeq2F52lYrkYiPcmFS08zNTPP3t4eltmlUtql2awjBTgy5LFz2Nxa\n58p775IvZGi3m1iuDYrC5z//MitLi/zV1/813/vutzlz6gSHe3u88PyzrB5bBM/kxeefQsXjYOch\nqnQRroUmXFTh16OpgC4FmkewemhH8HIKIQagAEUVg/VRGRpGKJXAsAplRYhx2R39bpB7wc/bOo6F\na9ngOUxO5Nne3EB6bhAidWg2aywszFCuFLFtk37fL4ButTqsra1h2zbT09MgFZ/eSwr29w8xDZti\n6QBF8XAch4mJPMeOrzA9M8GxY0vkchka9Sqe49Lv9Ol1+sTiSbo9g1K5ihqLk0pl0GMJkskk9Xqd\ndCpBJhVHUW1SaR2Jxe7eJrbTo1qvcO3GB9y6dY37D26j6ZJer4NlGWxsbPDKKz9mdeU4sVicX//y\nV+j3+3z729+h1+sRjyeplMs8uHefjfsPkK7N6bWTPP7447zw3PN88fNfoFKpcPHiReaXFqnUa8QS\nPqvH5cefoNFq/r/UvVmMZFl63/c799w19ojcMyursrL26rWmume62TM9Q5EzHHJmTHkkUIIoQRAF\n6MWAF9iAZMCA58WG+KIH27INWgZFSqTEMc1tKG6jno2z9N5dXUvXvuQeGft693P8cCMys2pWPgig\nD5DIzMi4NyNu3HO+8/2///f/Mzu/wMc/9UlWV1e59uGNx1iqBhIpTCbaUVl2Nc2MDximTMoMk96z\nKUw4qflLkZE2UAlPathOa6nTsoaBwjAihBrxtT/7XTbvXcGVCeFoSLlQxHEcpLQIJwS8OI7p9Lss\nriwzCvwfuH79oPHXLCObKloIRJot+uJAVUIfasn9wOOzDGyqkHH4nEOsFwRaZJP5IBsT6qAorp6o\ntQFPiKhOsqnJBEyTFCa9WFpOmDvqcBc0DTRHpasOFoNp+skRGGfi+PyYG/SR3e3Ra3U0Uz362sWR\nY48+/+AaH+n5mI6jKiBHbWX0ZOEDDmzHs/eTwbImmuajW+zdu0Iw6CDSIcGow/rKDLfuPWDj3nvM\nLJ7m7JlTvPHdv+SFF15AqYRvfOPrLNQcojSDZt1ckSjWpCom7se4ToHW/jZxnCLSkGeePU+vu5lR\nddM+zfoGx1fnWV5cpNVqMegN8P2A0WhEpVwlDFM8D4qFKq6TsRDXTpxgfn6eXm9AMApI0xTX9uj1\nepRKZXbrHRzbPZjw3XaHRqNFuVigWplh7AeMWwOkaTMYDbFtm2PLS9y5dYeHvS7PPv0M5UKeRxsN\n8p7H3LElTq6dQRgpX3vtG1i5HJWZY3Ta+9SqFfKexczp4xjSIQpjtndbGJbDQrXC6bMXuHX7Lp3m\nDs3ugHGQEvojnrr4PBgmtiG4e+dD/GDA+XMXuXfnJk8/+zxX3nmDCxcuULAFzzxzkXZzh739JnYu\nz9qp00jbzrZ109320Y3LZDc+1UPMNmeHSunSmHhRHVG3yVo5jsBS07/pNNsiawNDZ20aB8oeR2q6\nU3hcTfQbY8D3fS6ev0B3+xZjf0ivUafg5fCDMSU3T6fbJI59kjQmiEL26g3Go5BjK0UWFxfJ5Qrs\n7uxlnmMFg3Z7iNYpa2tr1KpFXDcTSCiWcrieQRwNCII+ayfWmZub5/qHNyiXMy+4JFHEcYo/DnEc\nlyjqYJo2nVaLU+vLJLGPkbOIE5/tnSZRHGOY2TUIQp8ojhiNh/QHbSzLREqDTrdFis0bb7zB7Mw8\njuNy8eJTtPsjHm1tcrFSIue4fOzyRxj2+lRKReI4JhiGWJbDn/3pn/KZz/4cYRjij8acPHmSIAiw\nHJtbd+8wO1vjxZd/CpTmUz97kjiBOE0xZVa/P1TiyEyulNIZ1MxhZgZTpuvhraG0ypio2Yd3UEmf\nNggd1NI1ExxHHXT16iQkb0vae1vkjJAkHNHs9/BcC8eGbrc5IbPZaMPgI5efJYp9TOuHl0ueHPJL\nX/rST/zk/1Tjf/nf/uWXfurzfy9zfZ4AWhYTqr2YOMdOkuKjby3baQhM86gCPAeTVMrJL0bGAZbm\npJ1YgDTNAxhwGnhMI/t/B/UANOYEVsmIHVPoTSCEwjImSgtG9trkpK/GFCJjME7Ob5oSKQ0MI0vx\np1YKgqyWptLJ7kVKBEfUo8WU/Wh8nwJC1jc0UTFnQhQhs66ZBrPJWzv4Ovq7FIeWGtOfBWQ1lCOP\nZxnZpEzGlAGqMZGYJNx+5zV69Zt09x6ggjZR1KPV2CVftBkN22xtbmJZJs88+xQqHHHtvbfY3riH\n61ggNCvH14gTzebmLlprlpePkSQB3W6LJPWZmymADuh1t+l1t4n8HqZQzFSqOJaFNCT1/SZaQXO/\niUAS+iH97gB/PGI0HDM/O4dlmQx7ferbdXQqmJuZp1qrgTCIU41OUoqFAnfv3sexHQbDMYVCmWKx\nTLU2S6lYZXunSbffxw9iVlfXGI18Hj3a4JOfeJWtjYfZhNQQjHyqMzOMxj4379xFAcV8mY++9FO0\nmnWqZQ9FQhiMUUoRxMlEEUHQ6rR4cPcux1YWuHXjfVAJMomYqxQ5deI4tZka6BSF4lOf+mnq9X2E\nIVlYXGBhdp5mo5EF52Ke4bBPq1kn9EfEKqVcKWOZZnZfHvReHqIBxiSYmaacBKwUgc6y8KxMerBh\nPEAQJtkX067FiRq6YNJgLzRSyIxyzbQ9JpsLEkAnmW0TGtOyWZmrceWtbzNsbWMLRdFzUCrF9Rws\nW5IkAcNBj8Gol6m/SAutNIPBgDhKsS0PYTisra0TxSnVao3xeJQ1Dvc6uJ5Bmkbs7G4CMcWig+c5\nSKkplQrcvXMPy7SIE0UY+KRpSuiHKC0YDoZIAeVSnuefO8fMbBGDBNd1cJ0Ce/UOe/sdxkHCYOBz\n/8EG0nDYr7fJFfIUCnnG4yESzd7uBnfv3ObN19/kv/qv/xu8QoEL585z8/pV0jjg/ffe5tTJVX7v\ny7/NuVNrbG884u233mT95HEe3LuL57h4OY96fY84CgnCkPW1dQrFIn4Q4eYy1EFa9mTya7RODsLP\n0XVhSqozjjxmiENIMbszyfp1DYGY1EenX0qlB+uOMQmUhhQHa4UnBUkS44+H2XOBmarHcNhByIRq\nNcfiYo1KtYznmXQ7DdARvW6DO/cau1/60pd+7cfFkL9GGdk0NTVAQ3pUVXIyDDXJpMxDzTnDMIii\n6ADug6wZGrIPIYmTjMxhGJgIxGRnmabRwZ4hm9kSSSa/8oMYWdl5J4HKnKTjE+8lTXrAqDQfq0V8\nf0ZmTgurR+1RLOvgeUoc9nI9mVU92WYAR+oMPK76MX29P1JZ4YnxZOYmjkRAfUTnMtNiMzB0RvTo\ndpqoYIiOUrQJluNCFFCwXfJemQ8/eJdyroBQCstIefbiBTrtBidOnsGQDog8Wri0GjvcvbdBEo/J\neQ6OlU0U3x+CylopHMsgN1uhVMoxGoVIYfDUhQs0Wh329vbwPHmQRSsdoZKUre0NyoU8tp0x3Axh\n0ev16Pf7CGkgpMVgMMAwTM6fP08QxuSKJQxpE0URjUYTYdiYtkvesnnq2WfYqzd5tLlBLpcjCIcU\n8jaV4gKDwYhqZZZCIc/NW7fpdDu8+OKL9DsD0jRmaXmRfmub8VhTb7aolWsEUUwUKQolj/FgQLFY\n4v6dG5RyNqYtMRH0G9tcffd7dH1NdW4RrTXvvfceg2HAM5c+Qr5Yghj29uqcOLFGEGb6g8WCS284\noljMH9CqxWTjMg1E03EIQU0JB483zGutSfXjJYADlZuj96zIBGMz5vCESKKnrsKHLDghQKiMiKLI\nxIrTNGVpaYnrm1cxVYzQGtsxcXIOhimIohDDMNjdqfP888+ztbWNSiDv5rl99wGm9FBa0mn30Eqw\nsb1BPu9l962U7O+3SJIEyzJBZ+/BcQWmVOzsbLK8vIQhbcb7HRYXFwnDkG6nRzAa49oObs6jXMlT\nKOdo7LcQRkqr1aDdGTAcx4RRgmt7nD//NO+8e4XxOMR1M7KFY1rY0mB+vka326WU94iVZn9vl1qp\nRKfd5Nzpk/zBH/wex44t06hvU8653Lt5g9ffeJPl46uMhl0+vPEh9b1d6vsNfuVXfoUwjLFz+Qwl\nSlNqtdnDzyzVYGRN8VMBiCcb06csVnF0rTjo2ZhAjiILZFofrmXZJBOoJD24V4yJI3yqJ2UTnZKk\nMQiDZ198hY07BRw95MH1d+l2eyCydTxNIjQGnufiOnmCyEea/z9Tv9eAA5gpRBJ0HGBYmQ+SSg4v\nujQNrl27znPPPUd9r4VhGOzsbvDowX3W1tZYWT3OwtISf/j7v0+/32d1dZWtjU16gz6n109SKhfZ\nbzRAShYWFykUSqyvn8b3ffJeLpN20immaR3Ae3GYYBjZTRirNGPupZCkh7qKcaQwLBM4hO4Mw8A8\n2P8AQmU278JCT3YlcMC1mOyEjkKnOtMw1CloA6mPmNxM4USRBa/MTiPb/R4NQlNo8+h1PjjFwWPT\nn4xJgTar9xnTut0BQeQoxjpZBCPF2fWLtDduMAQCvwOxQafXolAsEkU+sRoTBDH+uMWHN27SbbeY\nqZWYn5llY3MbZVjkcjkQkksvvsgHV9/BNecIwx79VoetjS2WFmaxTIcoCsnnPYSGQb/PaBxRKte4\nev06QkhGwwDDMCkW86Q6oVio0O126PdGWcY9Dsi7RUqlPJ3OCCkt/JFPLicODEhH/hjbzfHg/gOO\nra5OWI8KRUKpXOPug/tUClWKxblMX/H1bxH0TyII6ba7pCH0tEm5Osex1SVKtSJvvfUWlcoMy/0+\n3Uab99+7gu1IDGkzCnzanT6lcmbJ0R50COOAdqvBz3/m57h65RqtVoe1Eydp7NcRVokwDDl/9jx9\nP6E6VyJVEkta9AYDpLTI54u4tkVv0MPLlTh28gzlmVkMy0YZBkY6+eSnwexgs3UoHHwAdx8Ep+ym\nMZkGpu+HJvWE+KS1nPwsDtAHPSEbTKEpoUEZOqPcT+5sKTIth+36zoSwMcKR4EqXbqeP7UnGwZDV\n1RVWVo+RpBELi7O0ml06nR75QolGq40pPQI/+3/Vyixh3Gdne4NCIUcUxEgpMaWLUglxHBMGEY7j\n4JgO5bLL9m6bTmufYm6FUt7FH4xw3CKRSvFyDoiYJPaRQtPsZjqcYaDxvAKzM4uUy2UazQ6pMul0\nBhjSot9pIoyU2B8xU1qj5FkEShOngn//m/87Z84/zcx8Bm0WSyVmKx6eI6k/uksy7LA6W2bcbfEo\nGPEzr7zMt19/g5WlY0RBTC7vIi0TP4xAHjE3VdnnIfQEGpxoHn7fhlgfIdo90SZkTBN2sizryW2x\nIaDZaVAul3HzOYQyJ8epSSyUaGEDCtstcubsRV77s98l8kNcN0ezWcdxLYIwREiDONGgTZqtBrm8\nw086fmwgE0K4wLeYxBrgd7XW/6MQogb8DrAGPAR+SWvdmRzz3wP/mGzt/S+11n/+o/7HoNfjD373\ny1g6JdSaYs7BcT3W1ta5dfMOp06d4t79O0RRhFKKuzc/zGocrksa+ljSpLm1TX1zizRVKFJcS9Jp\n7lNwbQpujX5nn3DcQ5o2ceDz4PZtlNZcv/LBodCvSkmSrP9sdXWVldVjfPW115ifnaVSqXD58mX6\nw0wTsFAooHRCEk/UoHWENKwMipv6lR1eQ5SQGJNAIY/U8AzNFHQ5KJCqI6rymgwGzBDtLEPS+lAe\nKkUjpDFhmh3RXPxBF1rrI/WvFA6QccFEgz/LBg192LN35KY/OM3kcWma3H5wjyBMEYbNuQvP8uD+\nI5LekOFwjON6dPYb1GYXuH3jKipOCYY9zFqBJA4mAqEZ5GBJE8tyOLZykkf3b9FptzClIF8sgMyK\n98dWVgCFSlKSNDM2HA6H9Po9CvkSlWqZMIho7LfBEIRhShwr8vk8pWKFYDQmCAKUguHYZzzq4BXy\nzJbLIDPwq761S6fbJ5cv0ul0SBLF7MwCUQK9fp8XLr3AzvY2J9bWefedN3jphReo720gzBRTKe7c\nfUixNEun12V1bZVyIY9pQDHvcuW9dynkHJ5++mk63SbdXhPLtKhUKjiuhzYEq6srCK15+qlzdLot\nDFNw8uRJwiAiUT0SUyPzJYRh8PLLL7OxvUd/OECaJru7dVaWjjE7U6XRaDAYDFlaWmbkhxkcrg0M\npQ+sPB4Xfz7cSD0pGPBk3fgAUpwEpANJKj21H9I8FuMy/H6yaE4zfTCEItXqoH9SGGBZFq+88gr/\n67f+BBEFFPMuszUna6UYB7iex36rzerKMr1OF4A4TvHcPL1OhyTOvNmCKGZxcZHd3U0KJYeZmRlM\n02Bvd5ex77O8fAwpbZI4q8ynqaY36iGtAjMzNaQwSaKQ1ZVl6vU6c7NFHmzsUKkWaLVbeLbFfjDG\nMAxs28YUgtpMjdrcPL3uiG63i2NZuE4OaVkkSZKhAapMEATYpoWpx5SKZaSluXfzLVr7Vepb+7Rd\nj2vvvk59Z5fZag1XnsOWBrY0qVarBKMBSexz4/oHfO4XPotjO4RxgtSKrFNHHFxzQ0+vv4FWilRk\nWdM0s1IT4YnDdp7sM4snjc3TssvhzH98GCpl3BtgYVDI5dEkqKM+jEJjmCDINvBxKuh2evjtLnEU\nYLsurmcz8seUciWCIGEwGoI0GI7HP2gV+4HjJ8nIQuBvaK2HQggL+LYQ4k+BLwKvaa3/uRDinwH/\nDPinQoiLwN8FngKWgf8ohDirf1A7+MHQlB0LEWssaWCEESM/5H5wk8T3ef+dN5GmAVqSqURl/Skq\nGmOZEqFiojBLb0WqMYVCqBQdZvRZRFZ5MuIMw5XKwEbhhxGm6aDjGC1SgijMmiZjza3bN3j48D6O\nZTAa9ui2GuxsPiLViiQ9XASUUlSrVV565WVs28aQJlpPZKEmeZeQBqSZDp4WEmlYmehxHKMNI7v5\nJlciTlNsU2RGmpPHVJIcmM1Na2uG0qQ6W3TQkKjMg82SJsIQqDg5UAOZMuIc0zqAdDBMYpUeZn8C\npDayBQp1mCry5CIGaZLJIY2GfWbmZyjIs+w3ttmp7xErwclTFyhVKwyHQ3L5Ab7v02jUWV5cZGlp\nhlLRo763RbU6g5AGpXwOpQ02H21Rm5mh1exRrVYJgzHdbhfLMkjSiO3tTWZnZ+l2uywtLTHcb2IY\nFufPnMLN53j0cAvTMohjjW3ZB2y32eosvUEPQ5gUvAL7rXZ2/YWgO/aJtrawLYtBf8RuvYWbzxGl\nCX6ny7GVVQZ+AEgWlldACcb9Hpv37lByHG5d/5Bnnz9Ff9Smmq/QqBRIdMJ41OX+3THlcpXVpXlu\n3LjK0tIKo3HE6uoS7V6TtbV1dnd3CUcBmDF79Tqra6uYUhLHMTt7e8QqZTgckqQKqQRhOOKXPv2z\n3LjziCvvvY82MimhbqdD3hUU8oKvfOX/4dy5c6yfPM5b717lmWeew7O87H41FFpm0/5ooDrkFB0u\nWtI4AjFPnze5I6ZZ2tSgVYnDezh9LIhNjjX0RASVg2xPCwMxsRbSqUJpRc616SSKfLHCqNXCkHk2\nd1qcPnMy67lLAh4+uktrv4VrW3ieR7s1wHY85uaX8ccRjVafOA558GgLnYZ85PIz7Ow8QAjo9Yd8\n5CMfYTD02dra4plnnuLRw3sZKpNzuXDiNG++dYVifpack8cxPcY5HrxcAAAgAElEQVSDMa+++ip3\n//Vv0NzfRhMxHPWIk5C1tRPMzcxx/fqHOLbF3Vs3scw8Qhu0Wi3iSGO7+QPXbsc0CPwRVs5DxClm\nGlMt5amVSoxGfU7Me9y+cw/XyXPx5DKmYbE4U+TE8WWa3R5L1QJvv/4NXnrxo/iRxohGbO/tUJ6b\nIY5jLNvlwYOHnDp1BiGtg6xrmnEbE5TlAK0RAEm2OT5CBDOQGKaBTg/1XqeWQI8ZtkrwCh5hEpKm\nMUKaGOahSLsmuzESrTCFSb5cRRkWhlVi0B1RKnj4gcKQeUajkGa7jWnaHFudR+kYePTDw8aR8WMD\nmc625MPJr9bkSwO/CHxq8vhvAN8A/unk8X+vtQ6BB0KIu8BHge/90P+RapIoRoVjlLRBK5SG0WCI\naZq4tjWxDlCkcYK0bSxLkiYJSZLgWWZ2o2gDIdKMOUj2GUVRhDRt0CZpqknSmCiNCaIAMBiPA0zT\nQApFHEbg2JimjdZZAdm0JIbt4Fo2URgdsB8VCiElWkFjt8GffuWPcL08vu8zMz/P5cuXWZidJQhC\nhmOf4XCAbdvMzs4iiVFJgKEVUhnZRFaZekLe8djZ2qJcK7OxsUGpVKKUL/Bwc4v9/X3W19cZDoe8\n/vrrnD9/HiktLMvCcmyuXfuAJIpZWlri0qVLLC4uZu8pibFNE0HClJmmhYHUmU/AIQsSmLBED/cd\nj2dmALYESPje975FSXTYun0V25NgmAhL4JZmMZ0cra0GOa/MONIUKnMMRiNc26Ld7RDFAVvbD8nl\n81RnKmxv7eDlS5w4vszHX3kZP+hy/94tHCvTxhsGEbadUeYtx+beg/sTuHHIibVlYpVy8ekzvP3W\nuywvn8B2PbTWrK6ucOfGTZaOrdBotBDKJ0kVUZwgpI1rWcRxSi5XYr+xxdzcAu1uj3KphDBg5I8J\nIrBMl8++9ApvvfEGzXYLpRTbO7t8/OWXeOGFF/j9P/wynf0WJ0+epNkZMhiNMU2DMPRpNloszM3i\nOTb94QDTNDl37gJ37txieXmZ0fg+gR9hmjb9/pCVlRVM22F+cYnhYIyBSbfbJ4wT5lcX+frXv47l\n5Tk3U+PK1WtcunyZzv4Od+5e43d++/9mMBjwne98i//pf/5VXn31VRzHI031RChakagnejEnK9s0\nmzqQ2dZTBZdJAV9k96qYRDNDH0LOEzpBdrYjm57DdpHppolDfomQB9AXIiM27e3usbS0xNzcAgU7\nRxJG/NQrH6Pd2SOJx3S7Qzy3iGlAr9cBJMVSje2tXRwnpN0agOEQ+FEGJ8uU4XDM0uIKO7tbzM3N\ns7W9x95+k9XVVW7cuk0wHpBEEWEQ0O/3GAw6BGMNSmAYFlqYjMeZjBoyJYiz9ovBYEClUubevbtU\nyxWarR6u7WVohFOkmM/TiQcE4wG256KTlFa/w8riPGEYYWJgGRbjwQjDkvjDIcVikWMLc1imTaFQ\nAS1pNxsMekNK1Qpvvf6XHD9+nO2HtxiOYqw0JdLwxtttPvXqpzAtk92tLc6cOk0U+tlGXmalEoQ4\nrB8fkfGblkSOCkkbMNH1nFLLMhgxq7sl2XqhNMNgiB8McRwHS4JSMUIIHjx4wNraGkmisKSN1AlK\nj4mDPtVyng9u3SQKwsyH0LHI522G/S61SoVWq8XGw3sUS94PCxnfN36iGpnI1HnfAU4D/1Jr/YYQ\nYkFrvTt5yh6wMPl5BXj9yOFbk8eePOc/Af4JQC5fJEkSDJhYoUMSRxhmtqNI4oQ0jTEME6UUYRiS\nRBNYJInxowTPdiaQSWZMqcjgM1NKwiRGxQlCSBKdkOoka5JWmXJ7kihSneBIE8dwiOMEQxiYWiKU\nIE2y/ggDgTFRPkiShDgMDgrnoZ9BdaaUdJpNvvHaa6RJJoEjLZMkiZBSEgw6fOFzv8Cg18NAkyQJ\nd+8+pN3pkigwLQ9hOaQqwbImlGeRHW+aJu+3m1kvTDHP5oMHuK47oUtD0XEJpaTTbvGNr38NFSes\nrq5y9sJ53Jw3kezJNgBKG5l8TJoe7KANYU8+nce1IZ8cUigsQxAMe4y6j9Bas/lwmxOn1ukO2pw6\nM8fc3AxXrnzI7Hymu9hqNSjkyuxuP0KokO3NDU6tr9PqNDHuZ9JB1dkqe/VttNa0Ww1Wl1dIVYzn\n2egwJooieoM+URSxuLCMW3D58OqHIBIGvTaJAtf16PeHlIRNsZin1xuwuLjM5sYOo5FPVCyCJel0\ne3ieR8lxSKKEc2cv8OjhNkmSEgQRxWKZxcV57m9sgkhJVEqlVsXL51lfX8f3fcIw5t33rjK3MEO3\nOyQaDxh0A5RhM784d+BzVqvN0qw36XW7FCtlesMBH7z/HsVinvreFrl8mWg4ZmFhgZ29Oj/7s09x\n4+o1Hj58SLVaRQt4+rnLDEcBvVHEpUuXEEbKX377a9TrDW7deo983qM9IZZ87KMvs7W1R7c7ZG6+\niESQkmZwklAH2qHTMa3rHpVgg2lf0ZGgpEGJxyhSHHpLHGZkxhEIarqplIaRWREdgb7Tac1sSjgR\nmpWVFV7/9p+BNni0sY1tWrz97hUunFvnw+vX+dlPv8o3v/4f8YMRpmlk2omjUTa3kxTHcUhiQRRF\n1Go10tjn5s1brB5bwJQ2Sexj2oLRKERIE9tywUkYhBGnT58GYG5ujjiRtPYz6LJUKtJsNxBCkC8U\nODG/QhAEADQadUqFMru7u/R7PraTJwxDPK9MbaaCZdmkWtHtDGns72HobP3SpMSJgm47m+N2JlPW\na3dxXRfDNAnGI8Z+QrlcZTweUiqXOXVylVu3blIoVWg02oSDEeXZeUajEVt37tAdDDl7Yp1Bu02n\n22Nt/TSQIMn0UKelicfn9ZFesqkAsEomZMcjRTIxFWqAaXV9YWaW737rmyilmK9UKOYdrl+7Tr1e\n57mLZ7l9+zari8fBTOj2d3h05wrd/U2ieIRpQX1/h2q5SBx7eJZNGifkXAekoFarklWtfvz4iQLZ\nBBZ8XghRAX5fCPH0E3/X4jE2wE90zl8Dfg2gNregA7+DSrNcx3VzmEYmIhz7I2xpESNRSYxlGEz9\ntiCD1gwJo2hMJsMiERL8CUxoGPJAhilNU1Kl0SIrSGpDkxBiCYkjLEwh0KnCmlh9u25WfFRJgmFI\nwsk5xUQF3MKcBMyMrRiMfdBZ93wqBZbUGDIk7I/I2QapiqlInz/6zV+lUnRRaUwYBqTCw7ZroPPY\n5UXicYCBIA5TpK1JkjRTgo4UYZRgWCYajSNNkiA8kBVK0oxEIpQCqbBMg+2tDba3NwmTGNt1DiBR\nzy3Qaje5+NRTGIbB889fIoqyjDOTC4IwDBFGVjiWmYw6OlUYpgmkfOYXPsfNN7/OsFuj78P5ix/D\nyzfoDiJsJ8Sy8+zW63z605+h2Wxz9/Z1tOGCSAnSkK39bZJoTKJTlpeXuX3rPWZnZhj0+riWS+gH\nVGslWu0GcRiys72H42T1jk6nS1GXmF+epd5oMRiNs9fu5divdxhHCe2uS6VU4JVXXubGb/0Wjp0n\nSmJcaXF8+TipSMkXChiGyTtvvUu1WiVOFZcvn+C5p59jY/MBsR/QbPao1ua5fv067WaT46tLvP3O\nn1MplfH9Ae+99x4oBz8M6PW7lIsFNja2qFTn+MxnP8eNGzdJdhuMx2NGcczm3g6tVotKWGFhbo4o\niliYnadcm8G28rz/9hUKeZe8l6fXGbBy/BTDoc9OfZ/a/AJf/vJvsr29yfLCPIPBAMvN87FXP05/\nPObcuQv4fkin16dWqWbssTSaEC0EAgsMDusYImOGplofUqenbNcnGa8apDqSoYtpbTUb03gkjy6S\n0wVyUjc7OKPIQuBj/YwTOPNzn/s877/5LWbnZ2nst0naPeI45W9+8Yv8xZ//MS987CWazX02Hmyw\ns7PJpcsfYdD3GY3G9GVAqzUADAaDESrJyDv7zQY6VRk72bRxXZv9vTqzszWEjpk9eTJjRaY+x1YX\n2Hi0S3U2z15rk3E45t133qIyU6BY8ijkHcJoyOrKCv1unzTO6vWN/Q6nTp3h+vW7DP0xXq7A2voa\nKklpFdr0ej2G/R7tbo8Tq8eZq5ao1+voNMUyPTq9LoVCgWgYIKVkNA4oVeaw3RwFx2Mc+JyaPU1x\nP5M/6w7H3Lp3m/UkoT8aM//qJ9jbfMDrGw9YXFrlqeeeIwoHCGljmQ6mJUiUMUnAxbTYDSJFGhMF\n1anHnMhCw6EbNAh9CFMKkcHFO5t3GXd2WTm+Qho2+Ve//m+xLYnQCf/Xv3gDlOAzn/059nY3abQe\nEUddymXF888vM+j2eXCvycUL6yAUvu/T7fRptfcZjIacWD/xE8eTvxJrUWvdFUJ8HfgsUBdCLGmt\nd4UQS8D+5GnbwOqRw45NHvvh51WaNM5gQkMoYikwlEBqB50kGAJMpUmFQaoUUTQmTrMpUSkVSFVG\nilAThlSSpKRqqndoEPk+hjHpFxIia+WaKIVo0sxQTk66pHTGopJCZvYrdmbTEScBlm2i4iybUypB\nJRrPcdBaEyQJtgkmCtIYR4NIBqS+T9UVxP4IzzbpN3YYNXZJBjZCZ0oDlZljjLsRw9DBdUoIK48h\nZeYjlYbYppmxIM3HaxtJGh/U6ab25JkYsEYoQaKmfj4GEpnBS2QBPQ67mIbgwxvXcByHa1evIk0T\n27Y5c+YMi4uL1Gq17CYxTZI4RkqB0ikq1hhSYJkuOa/MW9/7Lp/85Ke58sENcvkqq8ePo+LM/Xl5\n/hgnTpzk1PoF3n77TT73+V9kZ/s2lqmQJpjSplKpcuPGdYoFkyjyWViY45Mf/ySbjza4fuMDPM+h\n3WhSrVazjDKdiJFO4F+lFNXKDEJIbt3eIFUmWtvk8hXcXIH/81/9a4rFHE7OI41DSuUCrVYD27Zx\nHAtpaqLQz6jlEhYXqty6dYVbd26TKAPPsRHAlffeZ/34KnvbOxxbXmF+do5Otwc6Y0y2211QKY7p\nUayWCeOExn6HleVV9utNKjOLbGxvUW/2+cIXvsjW1hbSEJxaXCAYDpitzUxIGFDf2WU8GBMlsLVd\n57jlcv78eTqDPmHoUy7kGfS7nDhxAtt2uXb1Ch97+eMMBgO+/Z03OHfhaQbDEZXZ3HTuHnwXImNp\nqolnlFIKeSRuyQnMrIzDDGo6ssBnHDIbj+j0HVknMvr+RHElq7kc9p4dMHsn1HytM2RCSolKFHu7\nLaq1OYadPqVSQhwmPNrcZDTucP78WbTO4MIoijh77gJ3bt9jOPTJeQXGYQZBGyWTNE4IE8W5c2cw\nLWi1GvT7Y0rVyoEvYRiGjEY+ubxHGGUsxiRRSMvAdi28Qh7bc5ifmWM8HtDudrDdTOuiVCkz6GVW\nMXO1BU6trSO1pJgvsrvfYJQLqFQqtDstyoUyedej49gsLSwyHI0IxkOiKAIgjBQCE0N69AdtkAam\ntClVipgTOP6jH/0o77zzPoVKlVZ3gDRdnn3+EufOnOXh/bv85Te/iud5rMzPcfPGFebmq+T9EaMw\n5vzFZ4mSGAxrQvY4/FylMEl1Bv1aUqLSFK2m7RiZFVCKxhKSOEqyTDgKkFIQDpv0m4/YeXSVd/7y\njzGNmCTQzNYqzNRKGKngnde/gu1ILFvjFWA0irFzLgYRaycXGIz2sG2b1eOruJ7k+Iklvv3d7yD0\nT+5H9pOwFueAeBLEPODTwK8CfwT8Q+CfT77/4eSQPwJ+WwjxL8jIHmeAN3/MP5nUpQT9XgvHzaN1\nwigcYJkOapLSykmaO/IDhDQIk5gwlCidkCbTdNkgmVCKR36M7/sYKoMc0iTGtjxSMWlsVhqRxLiO\ni4XK6KVaYwmNECkqSYmjzHHZsj3SVIEhSNIAQ5h4bi4jPiCwDYkUEbYIsIwAoXz8UZsw6GMkAp2E\nRKMUU+WoVeawLIfBYICU0GsN8SNBeX6NTnePfHUREgctzWyxNydyvklKFIQYpjxYyJMkAaWRjoNO\nQVoZPIswsA1JlCaoJEWjiYPwkKmWZrJcUkrSIMIxDMIoxk8Srrz/PlcnArBTpuPc3AxJkjA/P8/p\n06e5++EdVhbmcUsVLl26zJ/9xVc5e/48ly9f4toH79Jq1jm9ts6DBw/57je/w7PPXWL95Fna7S7P\nP38J19Ls7D7i5oe3uXDhIjOzFUaDJo39fcb+iD/50z+mWq6glGI4HHNy7RRBEDAejw/YdYNuj7na\nHHuNfUqlKvfvPaRQKE+UAhKWlnJc+eA6btElV/CyRUGWUEkMQuNHAW7sUamU6dgCoRTPP/8cvV6b\nQsGiVHRJUoOhr2i397n0/GVu37iOScrqsRVu377NRz/6MW7eukMQxdhOjrmZWRYX5shXq+w3Wnzn\njbc4ffosozBlf3ubZy9d4inXI1CST33mC8zPzPK1r/4H+qOA7uA+4/GQer3OmfUz+GFKxfZojyPW\nT59md3eX3qBLFAxxLJe/+w9+matXr3Lz1h3W18/ywQfXOHHiJNIwOXf2Aq7roqf9lo9BSRk1Wk4o\n9UIYWcvFJEBlhX816XkUT0zVjBF3WAdTjy2KUwKBlAJ0mskZicMg+Xjwm8BWgswIVqcY0sJy8jSa\nfSyvgDWOGQ5beN4MaZoFmiAcsb+3RbVWplTOUS5fYGevlalwNNvUKjXAwPd9bFmkNxygdJQ14RsG\nd+7cYmVlFa01YRgyDiK2duqUy8WDNaTf72LbLoVCgULJo+/3QWv2m01SYmaqJTYebWNLi3KhPDEw\nzQgdlUoFr1Dk7oP79LpdRv0eUmX9rlEQsrW1xfz8PEopeoMOSZIyW53FNCX9gU+ulG3YlFJ4Xh7D\nlJTLZZqdDp/+zGf53lvvcur0Sb7yla9w8eLTFEp5et0mWiv88YA4CpifKSHSmGZjl1GY8M5bPpdf\n/tgkATgCFwJSmpCkSEPhTPriqtUqrUaTSnWGwXiEl8+htMSQJpBw88OrDPs9br/7NQj7KL/N7FyN\n+YU50jQmjiNajR2KuTyzlTJh5BOFISpR5F2P4XiINDSuZ7GwsEC326bZ2sXLeURhyLPPXOCvYBD9\nE2VkS8BvTOpkBvBlrfUfCyG+B3xZCPGPyaglvwSgtb4uhPgycANIgP/iRzMWs8gfRdlOaqY2RxKl\nWV0iTbFsPalHhSRRiJvLUynnSTXoQYJK44Nj0ziddK9rYn3oq5MzTQI/i+5KgNQgDYVGEfkDpPCy\nfrB4smtNFXHgY1kWg96I8swsppUnCDP1bIMIjJTR0CfnWDimRMcRMCYNO/T6u7hWZqVhm5o4iOl0\nOqhUs7yYIwwiWr0+3c4A07awzSpaSur72+TKs6SmheeVIfWQwiKKEnQSo5jCfgKVZvpmpmmRxsmk\nWTXN1IGMzFZF68x6QUuRsSFlxlSM/Ay6tOwsUKE1tmERqcxDNohjFNGEeSlwXZf9vQZRFLGztct7\n711BJSlXBMx5inTQYDAYUN/f5eqVd9jcuIcpJYFlUi3mef07X2NlZYZaxSYMBrTq2ziWQa/d4hOv\nfAyhE7qtJo4HkGnuGVrS7w1ZXl4hDAN0kpLL5UhTRaPRADKG5tiyyOeK3Lt3j153wHCkMx3FMOL2\n7ZuE4RjPNTGkpt7cZXlxiXKtSH/UZzQYMPItKqqIIqLRaPDhzSuUyyVSx2F2roTrlbl56xHFfI5+\nt83i/Cw3r19jvlrlH/79f8B7H3xAnCryxTKlSo18Pk+r26M98vHjlPVT5/j8f/63+Xf/7nf46Z/7\nAvVWG2HZfOEX/ybtdhsVhZw8f5FvfvU/QBohdJIF7Cgm1oL5uUUWch7tThNpGQRxhJcvEkWKdz+4\nzjvvvEe5UuPY2jqxMvCKJV559ZOsnlgDYTABJQ5UZ37IDAStD7Mn41A66smRbSIO6fUHLNij5+Iw\n8zOmPYfi0HzxB41pcFNKYzsF/tv/7n/g6vtvcufGh+zubKDCEQvzJTqdXcbBgIWFGZSC8XhMtxey\nt9uhVK5imA6Ndos4iLO2hpxHGMZEkY9dLjIzW0bpBN/32dvbZ3nlGAgbISRDP8XzPKIgYOynKJ1i\nmTG2LRgHIUJakzaACNeNsAyZyTYZDvv1DjO1Oer7G0gpKc/MkPccBr0WCE231yRNUwqFArXqLO12\nm5mZOUzbYmFxCd8PieKEIIxptJrkS0VWlhYYjkecOHGCeqPBo81H9PpDwlQxHAz4wuc/z8mTJ7h1\n8xrFXI7+oEupUEaaJuXaDHEYEaYxM7U5zpx9GhMDhXpM9AEgjnwkIRYJX/vzP6G9v4c/HlMoFLAM\nC+nYeLk8qbAxbIc33nqTvGthG5qio5lZmMVxlzAQ9EZ9gvGYoT/Esx3K5TJhGNJsNckVPfzhgNXV\nFcbBkFQnYGiCyEcLGI+HgCBNsk16q9X6EffsE/flX0X54T/VqMzM6pc+/bcwTQvHNFFCkIRR5vll\nZLCYSBSWnRUsDSGJkkwFQEhJFARYlsVoNML3fbSQuDkPYWTNgZViIVOiJzPplIbAoE8UBiTjISqJ\n6A66FIplVBpDqiYTO8GxJLGQuOUZnEKFMEgZj0bkC0WKxQKbD+9hypSCI1Cpj1YBpoQkDCgXHQaj\nIWmiMa08URTT647wvHxGU5UOYRgTqxAw6PZH5Ms1OrFgbe0ixeLcQTAxREYmsW0XQ0riJERpjed5\nhGF2vFIKY2JFb1kOSk/ZiFkgi9PkIIszDTNrdTAmfSea7O9CkKhsCbNtGybGhpZlT+qDEpOMDWqb\nBl46YH/zLtIy6A179DsNTp9cZuiP6LVbLNSqSAlzC7OMoyH37tykkLfI5Txs12I4GOC4eeI4oliw\nGQ99RiOfUX9MGimOHz9OGPl4to3jOOzvNw4UOm7fvIPtWiAFpm3T2G/RagYkqaBUKZMvuPj+iNW1\nBRxX4o9Der0eXs6h3xsS+D6FQoFczsX3fWqzNbrdNq5j4Y/GuK7LsdV1Ujy++c23cO0yKwuL+MMB\n50+f5uTJk3znu99D5otEScrs7Czj8RDf90kQPPX0c1x68SW++to3mJmZIQhjXvr4J0gw2Ks3eOml\nn0KokNf+4ivcv3uNvCPpNfdJ4pSZmQVKlTm8YoWNR3eo1+sZaaA/5NHmFhcuPEehmGdvf58TJ9Zw\n7DwvvPQyL774EmGUTERubR5Xvf/B42jx//uJAN/37Cd+/8HP/fHnAY6oxUxfoxaQRCHtxg5L81V2\nNh9y59Y1/uQP/18iv8vq6hy9QRtLGDi2BxjU90eMx4oT68f54Or7GUyJoFgs4zgplmOATlBKkWif\nuZl5olCxX+9QKJbp9QYMxgPcnIPrupiGJI5TTAMsU2QbK8MgSg2Goz6WYSBQ5PMetmlSzpcZdnoc\nP75Gs91iMOjhFoq4OY/hcEixkKNWnaVe36fX6XL27Pns81QGjuNgOy5KgZQW9b0GSINKrYpWEUKJ\nLHsDwjhCC5OtrR0KhQJaCX7pb3+RKBzT3K2zvbuD5Tp0uiM+9599Ec/LESjF0upxhOEQJCmGbT12\nrQEMHWPqMb/16/8HybCDSLIeT8vIBIaHo3FGn7cd3GIFYUoGrT3yro1bMEH59Ho9KpUK+zs7lKsV\ncqUSnudlvn9pgpQGjqdpNHdwXQsQhBOGYxwlxLHG0AaRn2BZHuVymX6/y7/57SvvaK1f+NE30l8X\nZQ8NTCZcHMekaYppGagkwRYOUmS9WKlKJqy7ELSaNNQqDJF5OiVxQJqEWfqbmCA0jjTQQZ92t0+x\nUqbkuhhpyvbWBoZOqeQNEn9MLedhmdDs9nA8jyQKGA2G2LNVXKmRYZso6JEmiiSIUcaYYbiPQxep\nI8b9GCk0/X6PpaUFtJQMhmPKlTJRmBAnEi0gihK8vEEQBHiuRa1SZr/Rpj8agpKMhyGBnxKPe5Av\nYJk5kjBGmZl1jCIlGIdIwyBJIvpRRJIk2LadqS1IgWlZiGRqASPQKnOxziR5DGwzs1qAaU8PYCgs\nJl35ZiauGEUhUxVsHSWYnsAgwjEU5byZqV6omIW145RzBR7e+ZCcrbl27SomKcsri2zv3Gd2pkxz\nb8Q4HFIpukgTLEthEOFZJs36NnEco6NqBu1OlDYNUxKGMUJYBJEmSgK0kBTLVcI4ZWVliSAK6Q76\n2AjOnF5neTmi3mjjeC7dXg8tFA8f3aVarVAo5CiXHXq9HpZpMoxVRhIY+ngFm0Z9HwF0RwH5QgGE\nxcNH20SxJOc6/I2f/hTfeO3r/KNf/vtIA7713dcRjsPHXn6J/XaHGzdukMYJBopHO/v8whf/DgvH\njjO/cpz9/Saf/vmfJ45Tjh8/juO53Lt/k1qhxKA34Jf/3j/i6ntv8najCcJg5dgJTMvh2rUbtLot\nMDTVaoXa/AIf/8RPc/mjn2C3vkelUuHVV19l5IcEQYiUFkoLDFNgSAVafl9Q+T5alhCP+UgdDPX9\n9TF9JOABCB4PgtkP4oBMoH9ELMtgymkGp7Kgayi0kZKS8uu/+eu8eOk5Hj16RKVSYUBIqVgmSSI2\nNzfx3BLVyjxu3kIR8eDRQ6RpI42sATlKEkxXoKNMqiwIAorlIlFk0O50KVWy5mQrZ2IrC8fxCIOE\n2NC4joNQKUEYZPPKliRpiOd5jEYjasUycZTQqffYF0Mc06PVvcX582cJkoSZ2Sq5nEu1kpGJmvsN\nxqPhpH2mj+NY9LojbFPS7/bIF0vs7e0xP7NAksLPvPoz3L7zIfcf3OXq9etcvnyZKInp9noopdjd\n2qRSLfPBlbcJ/RHtdhfLcZBRxPziMr1+h63tPS48/RQPbt/lxPopPNtCkKIxSRVYUqPSiDgZ80e/\n928RQY+8JdDCJExCtGHSajepVDI1GWnFmLpDznbx5rNg0+u22dptUCgUuHXrHrVahcXlVdI4RGgw\nbRvPdgmCgCAYMVObo9vv0B22cR0Px7IQSjAeDNCpIDPshGYzpFjM/4QR5K9JIEPrSc+ChTTFgU6c\nlNNMJCNyKFJC358ckmUWWmTitnEUEYcjhFYEfoBtmUg0UTTt+FkAACAASURBVJxgejYQEQZdrEKN\nxs7/R92bxVqW3ed9v7322vMZ7z13qLo1dFX1zCabFClFlhIjsSwpCSQngRLADxacCBkgZwACZAAS\n2NZLLPshA4I8BTbgCXGUGI4Fi4NEJpIsSqFINtkkm80eqqur6t6645nPntdae+VhnaqmgEAhkASg\nLlAvhVun7sE9ew3/7/t+3wmxb8nSmM3CnfBXqxVZv8dyuUSsl0RRwHg8pNMVi407nXdbq/5gMKCr\nF+zs7aCqGoEG4VHXDV1n+fBD9+DFkU9TKze7rxTrvCHJBsRxRpoMKYqKrvMYj8dOpPYDrB8SqYpe\nHCM6g1HNs/yH7SxV0eL722CzNQRBiG4VPM3pdNBpF7z28LHCc5mpLbFfaedgC8IUYxRGPRXecavO\ntvm6bhs3mvR9Ql/idRZpG9A1dXVOPBiS+BIpY9q2JpGSawcHzOaGH/30Zzh/8oAiX+GLjqbKmV4+\nYbwz4Pbtmwi/Yza9JMlSdsYZkQ/ffet9emkf4UnatqFtW0ajCat1QRonNG1Nv99HypA4TsnzNet8\nw7rIubZ/wHQ65e7N24xGltFoQF7V3Lx5nfl8zoePHqBbTVO1FOWKzgi0dot+mvTJizX9dMRquXSj\npWZNVTQgWrTxaFrIsh7Hx8fcPLrBaDSiM4Z8U1I0Daenp6yKEqU0s9kMad2N+NbN53jvvfv85m9+\nkf/6v/1veHx6yt7uBOl1PP/cLb7+tT/k/skxWZKynM159OgYY3z6/SFxNgTg/PKSs+k5YSSptaIo\nW/69v/Qf44d97rzwIp7nUbca35dEkXsunGusgy1h5o+YCC181N70g7Ps/h9vV3/km79/A/xjqBDb\nDsFuSwqxXYfRLdKDg8mQ1z/2El/8rd/g6uwU01SM+n2Oj4/Bs0gvACvZ2T0gaS12T/Lgw/tQNHjb\nqUTWS1yIuum2b1kiRAAI4qiHVh1Nreh8SxzHW12qparqLcbKNYxHUeDMK364dXMKt1b5PsNRTBz3\n2CxzZJAwX6y5ceM6vm/pZQmz2YzzyzNUrVgtXORjsrvHcr0iCH3qpiQvGmfA2ZKZZ7M5n/2tL4Bn\nyPMVN25ep9UNZVNzdHSdrjtGCoOH5u233mQ8HnM1n/H6J3+Mf/7P/DT/8H/9R7z2+iu8/8abCOF0\n5aODAW985dvcff5l/s+vfI0O+MRrr/LqKy9iijWz8xPaYkE/iVFtzWA43I4WPUzXYDzFziCi8yxl\nNWMwGDCfn/Lo4QmeF3BxccHLL71KnIQoZWDrbNRGUa5apBTEUUqrKoSQlIXCNGBj17ZwsHfNSQbW\nHdB3dnYIguAH/sj9UNDvf/Wv/41f2bt+C6sVpq3wPVBNTSB9hAdVWWCMoqxcp0/X6e3D0mFNg2oq\nrFGAQesGawyDXorwLEa1YKFVDVVZkAUCdIOuCzrdIqW/Hc15lFVFnucUmw2qbdmd7NBWNVmcInyB\nbpxWZ4ymKNYMx33KcgO2c441to4tZzamn/Yoq4rhcERdG1SjaJQmTVPKomI5W3Kwv0+Hpaxrnjw5\nZbK7S9u0zKZXCGDQHxD4vhuvCkEYBuhW43sC3WoCGeB7EunJZ1ke3VlMB402tEqjTIc2BuM5GohW\nZluY91EnlBA+XWcxnUFpTds0eEAUh4S+IBIdvaDF12tsc0nXzskySxgolJpRrC8wqgI6emnIoB8Q\nSBjvDLi6PGV34kZ9OztDxqM+bVU5jUG78cLu7i5xmGE7SxonjMd7CF+yWuVo1WEtjIZDAhkSxTFX\nV1cUZY3trANDW8vJyQmqc3P3oiy4/+AD6roCXN6orCrXT+cFPHf7Lm3TUW3xTVK4Re7y7Iof+eSn\nOXl8SoeH7wckaQ8898Cdn57xwYMHHB4cYoVEW4/L2Zwnp6cslmtu3biF0oq8aPja19/gG9/8Fr/4\ni7/I6ekTsAqjSr7xh18m9Dse3H8XTMuDDx/y3vv3mexOSLKUN7/9bd767nd441vfZFPmzpY9GPDn\n//xf4NZzz3P33oskae/ZuNdpTxDJCNUqdKuIgnBbybMlwXhbOrnnSDKO0ODc8d42CO3ZLUz4qS17\n+/VRYP4jsswzOoT44ze4rZ/kIxD3H/nzfWYPDzqjubh4QtdWLGdnnB5/QFWsUE2NFC5b2HWa28/d\nBg1xmBIEKX6YoLRBeIIg8IGOpq3AbH/nniCKEtK0hwwjjCM5EYQxRVmBtzVIWUHTtIRhTNPUSF/S\naYMvfcDDDzyCMMATDpwtZQCeIE1igihAtRXC97j/7tsM+hltUzOfzsjimDhMSLOEq8sLJvv7hFHI\nxfk5aZqgVMtoOMTzIK9rGqUoipzJZMyde7cQvqAsKsbDMR977ePoRnF5dUVd1XhAsdmwrnKObt6h\n6+D07JgP77+DMSUHkxGrxSXvvfMtpmePWC4XzGdn1MUC6TWMsoBvv/H7PPzgPWLpioIdzks6kLYP\n1jf0+hm+cG3PYRxgcT2Q1gqWS1eFhPWIk5Q834DnoY1mOr1C+gG+lKw3K/K8QAYR08sl+bqh2LS0\ntSGNM+dx6AS9/oCdnRFN0/DGN5/8yaHfe1hGcYSlo85zkr7TLVrdUpeKpq634xFLFAQYDOFTAj0B\nduvgazUEErSCVhX4niCUrrjSoVkMRbnBNhWqLfHCEK01ZVk6m6nv2kmzpIfpGq6urtgd72I6Q1O2\neJ7P7u4+yiio4eGDByjlFuLxcJeqrumMxvM0ZdHSjdwppMwLkjDkqijww5DF9ArnoLc8eXJCYwyN\nVhwc7LmRpx/w6quvImSA39XQtWjTOUNLJ2jLHO1JGqWJA0EgJEo1eBi01ujOoIFer0ddtwjfx9gO\nYWM8K8CXH2ll3+dOFN5TD7ZFBJIgCpEe2K6l0wWr5TG6uqLX89Ftji5b8ibn/PyUvdE+i3nOzuF1\nZNRjtb7CDzqWyznZIEZGkjCRfPDgPXbHI0Rn8YRPsSVa+MLnKeJEyoR1nnNxNSWJe+SbnLv37tHr\nj5jOLnn0+AnWemS9IWVVoKwhSXrozlIUJVm/z8OHx6RZzxEeRIS1HnQGI+DG0RGz6YJXXn6ZL33p\n9+j3+6jWIqVkNJxwcb7gubsvs1zPqNuGxXLG3uTaVitxN4hvffdtHjx+wmBnh+PjY8IoYb1e8uix\n4d6dO/ypn/xT1I2m6+Dq5AO+/vWv89LLdzk++ZBXX36Rr/zuQ66urhiNd3nhxXscXrtJnue89d03\nSQYDTk6Pt5T2gIPDG/yVv/xXuHn7DlGcUbWu4dqz3XZkvK3g0DXNesbXv/oVHjx6yOTgkLbV/Pg/\n8xMc3b4DQm4JD0/Hed/3DG7rObDf33zwdPy8Hf25npZnf+e+vj88/8c95X/UKffs/xcuiyY8WC4v\nmF0eMz0/JQ0sTx59wOX5Cflqw3I+RQhLNupR1zVVVZHGIYHwWa9XBEFALD209JkVK+o6R2lBEqes\n84oOHyk7Rkl/O4qPmU6n4AVbHUzTdZYs6zseJ9Y9c3EGnqWoNiQkqLZF+iH9nvs+KTqqeu14i6Gl\nP4jY2/84dV1gPAcW151htVjgeR6vvfaaCz6vVty46TgRYRhSlBt6Scrh7iGrTclXvvpVrq6O+df/\njX+Fd773XeazFZ/+9I/y4L13SdMUz3oEImA6nfGp1z/BJ370k5yeX3I1PeG9d99kbzxg/2CXy4uH\nLOcLpJS0bcsXf/Or3Ll3l8Ggx/npu3zu+LsADIYZxSZHdRazmm21c0uT1+A7/Rfhc3Fxzt17t6iq\nire+8zaTvWu8+trHyDelY1IeTMiyjKapOD8/5fD6NYwxbDYbqrphPl/StHM2awe4SNOM9aoh9htM\nB8ZojK6w1tLv/39M9vj/+0t4HoEvUG0LnWazmNEmKdV2jBinybbUT9B1hs4YtOcRBAFV28L2hmE8\nx36zvstTdbYjDELatqaqC5q2RI4zWs+1zs5mM+7du8dsNqPXG5AXNcPhEKNblPLpZX3CMGC5LFDK\nsQyjKEKZhigOuHp8StrL6KzH1eWMtJchhETXrWuoxXDrxiFNmRP5KZOdEXnlSNtKGZeH0w1CBkh8\nlusl4/EQX8ZkWebca5sF1vMJhE+lKxqjUcq4vIuBIPSQfkjXdQQSpAed1YTCp2trPNUCPpEM6VSN\n0h1RECPipy5P8Sxc/tRKbbQC4WF0S6fAsy1GFaBKQtmxWqwJJSzaBU2b4wuwnWZnPABKLi8v6Tro\n9/tUTUhvkFHXJavVirJw499+kpKvSiySMARjLGEY0+/3sZ1Eypb9/X2E55MmPYIg4Pz8fJu7EVRl\nieglaGUIQrdYyDCmaSqkHzIcjrAI8iJHd9pVaIQhkfD58MEjgiDgvffeo9frAR5N6xa3LIuYTqdo\n67JEyrgxhxCC9979gLaCyd4hJ6dPqOqG99/4JnEcE8XOTFCWBe+8+zbKtMSxa59uyhXXD3bIQo/p\n2THTccZqtXpGKvnEZ36Cy6srvvCFL1DWFdPpJUJAowzj3QN+/l/+eW7fuYfnud9VkiSYWrNZrciS\niM9//vP87M/+LFkccnL8Ae+9+5ZzHeqCncEeX/rib/IX/s1fQoTeH8kc2u8TsJ7dur5PO7X/N+PA\npxvXR7rY/6sHH+s5d7FuWorNgvGwx5OHOf2kx5/+536Sv/N37tMpjTGayd4uw0HGcjnHei6D2dYN\nVrWIUNLUJbPpFcNRnzANqGvnvNtsCuraUXjCKENKiVLOwLFer0mz2IEVhEddl1u9zskIAkPWS5ES\nhAjJ8xwhfDabwtFoBn1kJMG68WTbarSpGA4zlKqQUUia9BCey+1prdms1iilyEYhnucRBZI0ionj\nFA/L3u4Ot25cR1vFG2+8QRCEpGnKaDSiKp2xK4pCCARhMGEw6PHmN7/NS6++xNn5Kc/dPmKYpeAZ\nFlsSkO/7aK158fk7aGuYzi4Y9DJ6acymqAg8x0gUWHZ2d/Elbg3zLDduHhKGEq1a7ty5zSbfoLXm\nxq0jAplhjKGzmp2dHZqmQfpO+7x27Rpl1ZBEoZM7LGTpEKVy6qqjNTUeMbp15JMoCvCEz3A4Jkyg\nKIof+KP0Q7GRWWupN3OaVqO1wQ8DJ8L6PsvlknAbrNRbQRgrqOqKtcqJs5i8LAiCACu29nQBvpVo\n06I9jelajKrZGwzwdE0WSS7XM+4+fwfVKnciVy2mbRkN+wSBz+XVOa1qODvbbF/Td1gaz0N3hixO\nuX7jiEePT+j3+yRZTFEU+L5Pr9dzteVhwjqv6RTITOBHIZNeH9VqVqsr9vZ2KcuSyeEBDx8/cS5M\nYXn15bso1eJ5Ld3WaeiFGVVRYxEEgSRLI5bFElMvKLcf1Nb36bD0+30wHfl6TRzH0Hm0qqGsXI5l\nPBxiamcIeOo28qxzTfl+4PJ6ncW2hkrVhNIiKWjrmovpFWmSMLy2w8NH7zPYyTg/v6Dod6Rpiurc\nTH6yM+ZqVlHXNTvxGKwlCRNs5Bx1vd6Ai/ySMIgwxsUvWq0ceR1Jp2uaunW8uVAQhSHrZ6Fej8P9\na2jbOHu5795HFITkeb29AUfUreHawT5FqZHS1cXMFxcIawnDCCklR9cPuZrOqaqKwbDHqlhTqQZf\nBOzt7HBxcUEgAoQF3waMd3vMlivqRhGGMaPRgLIsUC0c7u0hcBu6b0tmF6c8+uBNbt++x9npBUH3\nIi899xyryymNVkznM+LhHv/4n3yOVz72cf7Lv/pXqZqa8XjMZrPh+PiYz3zmM88CyniBCyq3DXHo\n8w9+/R+S52tWyzm3r+/w9a/9IYEP5fqS/YNrrK9mSE/w3O3rSOGKYvGeAqHB4yNL/kdt0B6+cBMM\na812TL7tDtsedKT1sFa7BWy7EUWRu/U6w0fn8LT2KQpry/XD4vNRTUzdahdIRyOl5dbNGxjd8r03\nv8FqvuLRgw+5fnSTC++MslxS5xv2xiOkF9BJj/V6Qdu2xGlCOV2wWi8ZDSMa3dCLnVmjVQ2jcYZS\niqJsqJscU7h1wheC8WiApcX3PZQ2zu3bdfgGTNfgByFKa/eZVJpB1t8a0pyNfT6fMxgPSNOUKPRp\nqoq2bTCdYtjvY22Hj08vdf9O+h5JlpIA/f4AfMFiOiMMJG1TkU9ntNrQqYpbN6/z8ssv0jQN55cX\nLKZPtsFpQRJ5pNmA05Mn1E2B9BSLy2N81RJ4lqoq8aVF4NE0DYvZnP5wQNWUlE2J8AM2hWW1yWkb\ng7IdO/2M00f3GY5jhHE9bVEcoVRNVWl86W7qDx+e4HkeVVVx+7l7LNcLFqsNaRTjbeSzZhIpfIQX\norTAlzGmbOk6yNIUKQtm8zWeVfTTBKVdv6EnYXlVsanmPP/yjR94D/mh2Mi01lR1i7bQKk0iA6wf\nsS5yVGs4Pz93i/P2Aeg66+yxQbQlgz/NInQEoesaqoqSrtMMsph+6pFNhtC1lJslbZW7Lqgyx8dn\nsVhhdIsnQsqrNVEUkaYpVV0TRgl1XSOkR9rLUNtQplKKIIhc0NoYdnf3KMtjqkYxGMXkeYGxlvXj\nNUfXrrEpatqqRgY+B/uHWI9nRYJ13XLrxhF3795htpgzX1xtg6kGH49ASnzjs9OPaYzDVBmt6doK\nEUdYNM4k5gpEp1fnGG0pigLPE/QGfWTgboEA69XUuUAxeJ5luawJfYlvfYej2ppJ2tbl5WqriWWH\n5/kkgwmdsbQqYdh/jlD6DHoGoxWrdcNonNIIRVnWaO0yUb4nEXhEWUIcp2xWa9pmQxQNtydfTV7U\n+EFErxcShSF1XbM7HtLhEXoBVeWiFX4YEccpj56cEQWCOItZLRYo1XBVzRlkve3/3ZGmPWbzJSC2\n45wlR0dHxJHbtMu85PjkmFZZsnTAZtNss4suCHtxOaVuDIF0t7Qolnhet+VeurSmMYbBYEhdV1TF\nhkBari42vPTSbXrJiMELt3j8+IT93R512aB1y9nZBWXbsC5ybg72ydcbPvvZz/HZz32Rf/ff+WVu\n/LP3CGTGrZt3qesSZAi40W+1WTFIA0IB5eIJqi755V/6i/zvX/wtIhrml1cOqDs75Ud+5Md554P3\nCYShrTYMdxKKpt1mu572z7kbltt43E3LEe07R73ZCmofaWQWYzVtU/H+O+/y+d/6PL/wC7/AnTv3\nXEkqHgaHL8I+RRu5ShCnT1o+90/+MT/1Z/8F/tb/+Lf4z/+z/4TNas1vfOFz/PzP/zxhIHj5hRfp\nZQnffvNNqk3lmhxEQJHnnJ9dcnh4yLunH7gAd1PSGufcXa+XRGniesaMRkrJztZx53kWrGO2Nq1C\n6cbh6AKfIHRjN9V2GGORQYAvLL3+0LlpLTRbR2iRb2jbljSL6WUDgtDD9z2KMkcrN0o0VjNfOtxS\nv9ejLCpC6XF0dITneWzyKX4QsilKZrMZTe4O7dCxu7+HLipefflFpO+xml2hlCIJfI7PTqkbTRgE\n7O/vE4aCyd6A2eyM/YMDZldX7sa3XjogROEA1TvDEVXl2JSjyQCz1syWOe1yQ6s6hBeSVznB0SE3\nbt3EGDeRKavcBds9tY3gBKzXayaTCao1XDs84vxiCrhJVdNW5HnJ/v4hZVmyXm0Iwxh4ij1zWdBE\nxuxNAq6mFWXREngRDS2T0cCRcZIeIoR3vvf+D7yH/FCYPf7ar/6NX5kcHKF0hzEdUgZkaUyRrzk8\n2OPuc88RBIJXXn6BW9ePuPvcHeq2IY5j1psVMpC0TU3dVJit6OvZjk43jIcJzWZGKDq8TjGfnhPF\njkKfb3LmswVtq9DabE+9kKUZnX26yTQu26INceyK3qq6pK4bsixFac1otLM1jIAMQorC9RSlaY87\nd59DG0MSJwRRjDaGTVECPr4MyIuSx8cn9IdDqqak18vQqkP6LgidJq6yXNUNrVa88vLLPD5+zCuv\nvsLp6RVpb0BZN2jVkZcleVFRlLXr8hGSzliqsiYKE9c5hLPiG6PpZQltW7tRYtchfLdw+UIgpEeH\nQrcaS4fWlrpS1I1CiBBjBMIPSOOMXpawWq/xhSBJIjzh0es5NFIQBCil6Pf6lHnDk5MzNnlFGKbM\nZhsO9g5oW03WH3N+funCq7XCF1u8ERBGATIKidM+vh+CJ9BKI8OQwWDg7OMITk9X7E6GSF+ys7fH\nbDZnvLOLtZad8YAw8IlCSdkUGO04i71s4MZBWuEJR1E5ONjn+PgxYRjTtoos66G6jsFwvNWJPMz2\nMNUq99nZbDaURc6Na3vcvnWTKAo4PT1ntdqwWubMZkvef/cBDz44RghBEMcEYcpmtQF8hPCQvo9A\n8o2vf41HDz7kG298nefvPk+xWfPu22/x5MEDPv/r/wtPHr3PH/7B7zC/PEN6lg/ef5cy31AXS5Iw\neObinc2nlHXFeu3as09Pz3nlxZcw1kPguKQCD/emjLtNGYMvYMtxcxR040jwgZBAh2oars7O+K0v\nfI58vuC9t7/HT//Uz7g6os5D+BKx3RhD38Nq9SyXGUcBv/Ebv04axxw//IDp5Qm//cUvcHVxxocP\nH1DXFbdu3+LDBx8ym8/4zGc+xXtvv4/v+eztHXJxccXe5IDJ3oRNuUEGkjLPsbajVjVt2zhId9c9\nq5zxPA9PSJIkQZsOKX2kkFhrMJ2mUxo89/MqpbfTg5Cus6RZQlU1NI2mbRVF4bSc8XBMEITP4gNG\nu8mJy4VFaKWpq4YwDIijEOt5DrUnJTKMMRYuLq9oKo01lt3JHv3BAKzHeDx00qExCNGhVYvpnPO4\nqir6WYaTATrC0McYTZrEWNuh2mYLWPdQukFKnyLfOCSfAGU1eB7rvEb4EX6Q0HXQGo0UYJqCg4MJ\nMvDJ8w12WwFlrcdmk7t1snMmsX5/wMnJGXle0GwNRjs7e9vMhU9VtZS1oqwa2qahLEu6zqMz0Mv6\nnJ9e4AufwSDj9dc/RtqLSHoRdV1wdnHCy6+8wDe/dfwnx+xhrcG0Dvra1hV1MaUp+2RJxGp+yYcf\nvM29e3e4OH9MFESslhsa1WE93Hw5iRCd5tbOPmmacnZ5QVMqDq9NkF5LlESU1Qax5athPaqidNUx\nXUccJ6xWK+I02I79VshAEKcxILY3sJbZbOFGKFj29nbZbNYEQeT0s87i+wH5akW/N2C1WjGIIugs\nTVVT6JwwjInCjOvXr3P/wYcMRmMeHZ8QxgnT+QzrwaYoaaqG0WjEYDDA4GO2HZid0jx+/JidnR0+\n/PBDol7KuizIyxLf953LyJMotUVzCcFoNEIpxZMnT5zJQgh8zxIEkrrK8TpnHEC3tNrdumrqLYmh\no65ddgYPfBkjhEQGHh0eZV0RRx7jXopnO3Z3dtCmQgpXhdPvh1RVRb4uSK/1EJ1C+gUH1w9YrTbs\nHxzy4KFb2LXWWHzSbIBuFeu84uBwn6LYMNpJ0J1lvphitEea9uhnKa1pubg6d6J0q7HAteu3mEx2\n+P3f/z0mkwmL1ZzJ7ogsi8iLBUpDXbeEgYfZbNBKgC+oi5ZeGFK1DRfTGVHSc5ukCJgt1m5EOs4I\nZMQyXzmtMUqcyC8Dolhy5/YRl6cndF3H8eMryrLZUlicmWayt8uLL77IxdUlHR5FVeL7AcurM9Je\nws5kn9n5e4zHY9bGMSR/7e/+LbRuaaoKrzN4XcXxB1d4wiJFh1EVm6UzHP1r/+qf40tf+hLz+RJP\nCJbLJTJOaLQhjBKurq5o65zXXv8xbt66i7FOT/V9H8TTZmEHeWPLsZTCJ04zmtYtih0WGfl8+Xf+\nD0y1YbcfYxH8T3/7b/IX/61/m3VZ44vIOWGtpWsa3v3ut/Glx927d/E9D98qvvm1ryA6xf133qZr\nG3TbosuKr3z5y8wvrzg8PGCQJnz7G2/w0ksvEPg+jx9+6DTHpqGzDUWxIUkSB9HWbiMOohA/CAg8\n18VXVO4m1bYtwvPxA6dVdVrjeYI4cAcmXwQEQlCVCuF5CCFJehlN27Jc5IRhRFO1tK3afl47QGO7\nhjSLiWREazRtuyUIqY7RYEjbljSBYG9/n0a3xLif0SK3blwPrS2ekKzLEtVUrim5rRn1+25dimOU\nVi7LuTUtWe2yoP3hkLLM6XSNNZrQFzRCEAQBSZcwvbgkTVOeu3lEUVcUdUMYJTz//Iu8//4jlGrZ\n3d2laWuurq64+8mX3di3rrGdR384pm0Vl1fu5iWlwI+lK+TcwqWNsVhlkTLGtJYkCZku5i6m0GmC\nIGI86PO0QaRpFFYq7tw54snJGdPpCecXMXuTEZ6v6YUhzw/voFT7A+8hPxQbWWc0oW8JpWBvNKbX\nz6hbQxYn+L7H7VuHrPOctiloipwk7aOKBmNdut7ajv29XXZ3xzx69AiJJR6kWN2wzmeYtkKphltH\nN8B0NNqgtlqR8CuqqsFYqKuWQT+DzjAc9lnna3wRY4wTiqUniIKQ+WrN2dkZcRgRRE6w7awzrfSS\nHsYYIhmxWa/Zm+xwdHTE/fv3kVLSH+4Rxs6NU5U1vpD4gXRjQF9wOZ1xfX+f8/MzLDgKiOdRFznW\nuluAy4YZVm1DEMZo7erbQynxkaRhRD9Juby8ZDWbonCt18IfoZuKdNgjlD5lXRAnIVJKp79p49yD\nWCzOVCOlj0WjlCYQ/tbl6G03bs+RLNY5N68fgadZbDZAx2zq9DmlOl55+RNUeUEQJxxev8FyuWKd\nFwRRzM2bt3n48KGrT6laHj08Jk17XLt2wPnFJf2eG+3WrWKz2ZAmA9aLObvjHWbLFbozrDeFm8lH\nHo8enzBfzrh+/Trj3RH9smSxuKCqN9RN7kYemxxrPZIkYWe877KDXrDN9XWsVwV7eweMJ7tsijPW\n6xVCCDab3AXPt8H9MIwxxjCdTkmzkPfffZeDvV0ePviQMEqItpuH9EPiKMOThqJcsLs75Mn5Bb6w\nnJ+e0u8N6UU+1yZDev0Ua2u6tgYkbVtiTEcsfbRR0GlaXRHG4XYRMe72YS2f+43P0mqzvYkIgjhC\nb3v8ZtNLfBnTlhvef/+7HB4eImSAEBLbudJXXwjX9+m+3QAAIABJREFUOWU6zk5P+LV/8PfJ8xys\n4F/6uZ/jR3/sx7GdIo4ki+kpmPbZmP3EKP7yf/Gf0hvt8rM/9+d44YUX3MIlNF/8zc8SYPhH6zX/\n/n/wl/C6htV8RS/tsbia0c8SUhkyv7yi1YoP3n0XCTRFThoENKplb3eX99+tiOKQzWZF2eS8/vrH\nuf/gA3YHY+qiJkhdHMFtXh6tVk5/bWp0Z/D9jjR0cZVWV8/AyVrrLUVI4m3dvEop1hcXLFcbpAxo\nakXdtoSBy4+VdY0ApG/wPc9Vj5gObR09/ubNm+TrDUbXHBzsYTr7zHBRrCuUdnUuba0RQmCwLFZL\njg4OWS6X9Hspq9WaMPIoy5JatTS1YrK769aXMMQPHEz86OgmolOs8w1KNcRJCNaN0w8ODphMJoSh\nREYhUikWyzX3v/EmppNoZVkul/ihIAykM2uEY4R0rMfVak0UZmzWFULAK6+88qzkdrVaudos3bkb\nH5LAD5lPF2w2G/B8giBisrOLa9xquLy8pJf2sbEijgM+/emPczm9YLyTEWeSpnWTrSSJMd0PvpH9\nUIwW/4f//r/7lf/ol36G3X7A5EDSywxJ3BHGhuXyivV6QZZE5EWF54UYo+n3U8Y7O5TrFcY0CF9j\n2oJOF9w52iXzNWfH90F07AwH2M6QpBFGd2Rpn7YDs519h4HEGs1wp8edO7c4Oz9xIwfTEoWSNE1Y\nr5a88tKrXF5ckmYJ1w6vs1qtSeIUrEcYuoXl6MYRSrX0spQ4Dl025vyMQb+H0YqyrJjNrvjUpz7F\n5eXUEbi1+4U52j10naDDp7O+O7kZXHDTCoSMaTsQQUijPDbrDcVmw7W9feqyJI4E1w8njPoxw17K\naNAjCwMGWcJkOGDUj0gDgehaPG2cI0xp4jAgkDGmc6NEY5wgLjxLGoaM+32SwCcKJMM0Y3e8Q1Hk\nLBfnNLqiqAsme3vkeQEIbt96nulsRdlozs6usCLg5PiC9bqi1ZaLi0vG4yHTxQy7bS84uvUcSlsW\nyxWqcfrayfk5US9E+DAaugWrrhW7kwmX52d4nk8vG+DLkLKqabRC6Y7VZsU6X3FxdUY/i5nNpyRx\nzGRyxGxZ4wcx1gaUlcaXCcIP8DyfVVHi4Sjs89kGrQ1amW1cwrWU15XGGFiuVmilSJMIXVVkcYJp\nNVKG7Ix3WC2WhDIE63TOsqwpS2cGePzwmLIoyHPNnVsHvPLiXar1nMC0eKpEdgq/q4m8jtDvsKrB\nsxprNWEo6bSi66zLEllXNdR1HVXV0hmXBavKGjyLNYa6LNBNw+zyksvzM6bnx9w5OqQXCPL5jC99\n9n/jd7/4ed777rf46h/8Du+/8xahNQzThER6bGaXJL7HO299m/XlObOzE6Q1NFWBaiqSwMeaGt2W\nvPWdb7KcXvD6x17l4Qfv85Xf/6dEvsdwNOAPfv/LCA92x7tcnJ0wm89J0wywxEFAJAVWK/LVnF4v\nJc9XbNYr7n/wDnHiNvbZ9JK9vR0Wqzk7OyOm8zkGJwMYY/Cs6xBUdeuiCb5PGESkUYSq3IJstCJO\n4i2b1MduQ+x11Wxh4W7k57irDWEUuRGhtVjrURclnrAMBxlhENAf9GhbxeH16wjhEYU+2JYokPSS\nFKxTI2fzJXXd0Mv6NEpzfnaO9H1ardjf3+PBgwcYazDagGcJwgDbWcajMYfXjlDajUNN1zHu92ja\nmkBKEGydsDXz6ZQ4ihDWZ3ey4yJG2jBd53x4fIoh4PJywe7uxAWWy5IXnn/BXRqeu4lqSqqqYjab\nYztBXbfUdcP5xZTOelghUKojL0raRhNFCcPBgOuH1/CE79Yw0+FZQRhGLBdLyqLi6nL6zIzXNA33\n779HR80nPvkiHhrTKebzOXVd8uTJE+Io4a23z//kjBaNURTlkloXXCyeIISkqhsGw106UzAe71CW\nNVEoEZ77fq1r1sua3Z0+ulN4GCbjjHu3X2V/PKBpKn72p36C77z9Ht/73vfo9VKKosIKn7JVzBZz\ner0ei9WCT7z2cZbzAON7nDx5yK3b17l//z5RFGK6gCQNaFWJDCxBKIi3jrcwiLAdJElKf9BjsVg8\nCxhXVUHd5E7Li1L6/QQpYbnJeenFV5hNz1mtp3TdR24w38Lh7pi6NXhCkCWRY0d20Os759W6yB2B\noG4wGlRVE4cSq2tuXBsz6KeUZUlbK9LAQ3sdIhTEcUgmt0YF4VMVBdiOye4ejdKo1tFJxsMRy+0N\nxBhFnEiiwENYFwL3PI9qkztTgIQo6WO9ktnlFaPRhjTtcX5+jn58ymy6ojHuhNpcrdCtxWwxPy+9\n/CpCKCbZLvPpFDDMp67O4ad/+qf47d/+bV599WXev/82VVWRBJLNaoXFIoTL3pRlzeHRDmXVsM5z\nR3v3YDzeYbma4fmwt79PXayQvkT6MWenV5RFSy/LqBpFo0pkGOJ1PmESE8jUQZVtRzZyFT2N0CRJ\nQhQmLFc5Fg9jLEZ3JFHC4f4+XdvwZ//MT3H/vXfc7VA+DSobzi8vmM6vsJ0TvK8f7TOZDBmNRs44\nkATkmzWhLwi8jrZpMV5JICOU12JwyCVnitmQZYnjXsqAOIwo64p+v4/W7naB9Wk6B9POor6Lk7Qt\nVVFD39LLMuYXT/i1v/s38X3H3surnJ2dHVazM4Rw1mfPugqPrusI0HzjD3+PKIq4/50Zq/mC4XDI\nMI3pRQEdGhmHaGtpKsV33vwm0vf4F3/mZ3ju9g0k7uTfTxO07phPp8+qVIwxxDLAmg7fsxjjdBml\nGuaLKXVdcnLyiPFOHykle/tDkjRgtZ5xdVU4CEFnMUbRtpaqVAyHI8I4cXEY3RH6giSO6aUZ+faz\n4uN/1HghXUXU02oXa2E82SVOEqpWbU1QTvtRSqF0i9+C6RSeDMjznHWRUz6q6VTLZHfEeDTA1K07\naHQdnnB0/LIo8FgjrFsrjNHcu/McZ+dPuHPnzhaKLWDLlO1nPabzJd5iTRDGbKqCXpJydnFBlIQ0\nRtPWJUI4iLIfRjTKuM/DbIH1Ooqm5Xw6A0/S2QJ8wXrbSN00NRfTCxazC4TQ7PRCwjDkw4cnvP7x\nT9C2il424OBAkg36aG3wfEkQJaRJiDUw6PVp6pqmaKjLmvViTdrr07Z6O5lRpGnK/sGEKAqYzS/Y\n3R1z88Y1ymKNNprHx6ccHh7SGRgNJ5hO/cB7yA/FjexXf/W/+pXr12LOpgvyKuf84gLpC+azOXt7\nB6w3JVWtyHop2nTsHexQ5GuSOKJta6I4ROuKJPSJpMdLzz9HGkm+8+abvPPee8jAibxFVaMN7lrf\nNlRVhYdF64Z7L9zj4uKUvYM9Ts+ecPfecyhTEwU+QejTtiWTyR47O2PmiwXr9YbZfIkMQs6uLtmb\nTHh88phWNbRthed1tLpmb2+CDARh6JNmMVeXF6xWM9IkZL6Yk2YRYRAw7GX86Z/8CdJI4htF15bM\npudgFLouUK2lLiua0tEpRsMRQSCYjAfs7QwY9lN+8sd/jNOTh5R5QS/N8D1LvlqQhD5ZKIgCiISg\nrWundUmJlAHz+ZLTszOnDfiCumkxWmE9g27qLXBVY7TC86DVGrUdYaW9lLzMSdIe+5N9zs+uSNO+\nE8+FII5jZsslw/6ApnaC+HK5YDzusdks2dkZMBz0SGPXTt3rJWRpQhj45OUaT1g6o5nsjjGtYTwc\ns8kLatXie5IwioniBG002hiK0vVUSd8ZE6qmYdDLiMKU4WiXxTynLF1QOQhcdVCUJMggxugOrwMp\nJLujHZRWrpjVQlnWvPbaJ5js7VFVzVZHaGjrFk94RL5kMZsyny94fPKEs4szl4MRgrv3bhPFkjjO\nkIFltZ7zo5/+ESa7O4ShJJQRbdMyHAxRusVY43ihniu81Mo4jSqQGKMIAp8oCl0ezBN01r2XumrJ\n85J6azzypY/dBqezNOPa4SFxFIIHkQwoihytW5IkQhnDcjZ3oyXpUxQFttu2rEufTb5ivphh6Sjy\nHG00TVVhjSt+fapBddbSKIXRLZdXF1R5zuXFGfOrS1aLFfP5El/47ibhSxcPsS5w7fueI/EIkEHA\ndHrJZrWiVQ1H1/ex1r1uHEcEgWS1WrqYS5ygtGaz2hDIkPW6oNUdvh+ilHbmBM/bmiOc+UhsKf6R\nlERhQGfZuno9Om3RnSaQkcPDCYmxlrquUa1BCI/RcMD16wdkvQTbdTSNxheSOElJ4xBfCLI0I9zK\nBvgBxsJivtqSZLYkHa24ffOI9WpBlMQOAJAXWNdtw3wxxcNBjHd2drmcTRGeR1EVtLqlqht8X+Bh\nCYIQISOaxrmA8QTzxRzdGcIkZjTewROCwXDA9aMbTCY7rlusVvhSYrRifzJxr+WHHOwfbHsdJXXd\nUtQVqtV4QrKYz4mimNVyzXg0Jo5CfDyauqVpWhplWG1yN9KUkigKieLAsSe9jl6WEkYBWc+NEGez\nBVGYAT6r1Ya6UdRNy/sfTP/k3Mh836dSmtW6oGxK6HzqylDXiq997ZtMDm7g+QknpxekyQh9sSQO\nA8qyxhhDXhZIH86rgosnj/n4Ky/z9//238bb2vg3m5zlZk2W9TH4NHWJ8HxUp1znkvD47vfeot/v\nc3r6hPF4SFm5jFo/cUTswfgFmrqgbTqM7dgUBY0yXM4XBEHAt777DlpVXM4uefnFO4xGYw78MePx\nmOU6Z71eM11MGY1jXnnpVbTuiNKQVhkePzpDVRs6XfDjn/4YaRy6+olWc3J2znQ6pW2deH91OUV3\nmnp9hkKzc/06Wjdcnk/56lcV+XJFXtacPr5gbzJm0Bvy6iv32JuMQLd84xtvsjvsYX3J2fklJ1cX\nHBzeQDcN/UGKUg3gNi5PCKzV1K2iVR6BjLCeIE4d5gc6WmXpTEQQBewf3ObJyQVZb0DZ1EShI3ZL\nTxKGMYOBM8700ohBL+P64RDdVm7BNC1J5DOZDLGqcjrMskTYjjRLnuWTZOCzfzCh1bDuljRNQ5wk\nZFlK2VSEW93gKXIrDALmy4JBNqBqLHndopQhSTK0NqRJghC+iwVsNuRVxUt3n8cojWpawijYuldr\nvvzlf0oUJWRZD8/zaFp3YpxdzvnF//CX+eD9d3njW9+majRRHNC0LaHSnJ9dok1NVTfgKV568S5V\n7br2wlDi+y7G4WMpysbd9mMX6whlgm4NVVMShimGhDCKSHspbduRLzZ4VlAW24ohX7qiWWvJywrf\n991rdx11XRNHCbazKKVoW03VKvKqJvRD2i1fsyzdjdMX1mkgdIyHDuic5zm61e4mAbTbcZ6UYhtT\ncQeSsixZX12SxRG+EIRJynS+Jkkyzs4u2NvbxaOjlyUopYhkgNiaTqqmZjWfupb4QCKtQNUN5SZH\n+gJjPTrVMdnZIwpz8qJhPBqRxilnZxfOnCQCwsDBavMiRwoY9BPqonuWe4vjmHy9Is9bdnf32OQL\nlOq2VBOfdVUgPBe211oT+G5B7rrOZS+fUuQ7j6ZxDFPZdYRxTC9LnBnCdHi+ZLFYYJF0HQi24fPO\nkMYhZelYrhg4OzujLEsOr1+jqVuU6Sjr1jlrz6cIIRmMhlRVge8L1pslynTUm4IwVMgoRhuctt9Z\nhrsTus6Fv3VbM5/PYbFEeDG9Xp8sy+ilGXXbIP2Y8XhCtVmAL5kv823MKEBuR+ON0oRxRJL20MYi\nI4nvuwhNoxXlduolw4hhGHFwsEcURdRNSVmucY1elqLKyTIXTq/blsneIeenUxbzqbvFpckz5/MP\ntIf8MNzI/vqv/rVfOdiLESKg34s5PLhBmuwiRETW36FqPJrGZzpbsM5LLCFKQ15VBDLk9t2b5GXO\nwcEh06sNv/fl32V3f4/BYIAylt5wF4uP8EOeHJ/i+yECQbFxdncppTthtorLq0t2d3fwpSAOY2ar\nmdtcfUjilNl0SVG37O0fUjSG5brEDwLnHAwlvvQ4unENX4LnW07Pz6mqkjRNMF3LcNB/5sZJkpDz\n8zM8r8M0DZ/5kU8yGg9598P3+Xv/89/jfPaEupohbMXhKOHHPv0ir796h0+9do9PvnqHz3zq4yS+\nz8njE3wZ4AnBpiipy46iMCACuv+LujeLtW5Lz7OeMcfs5+rXbv79N6er01XnqvjYJTByl5IDCqa5\nsBJEI5AQCbnAQQglsRAiyIrtCAFBESAFKZYFikDiApwoNsbGlispV6qzy+VT59Rp/2bvf3ernf0c\nc4w5uBirfttgO4cLFGfe7L2W9traezVjjO/73vd5e83V5Tl1UfC5N76bL3/5N/j857+feZpg2pLP\n//D3c/H0Ed/9vW+w3twwoJFWoLQmyVIiKVBt46o1IbED7PM9vpTofkCbAd2BLySnJ6dc32wI45iq\nagnjlPlswQvPPyDwYDLOOLtzwnK5ZBh6jHInbDy4WV8yGo3BWvpO4fuCOI5I08i1nbTh5vqak6MT\ntDb0fecAvZ6jh/syYJyOKJsGbaxjunk+QRASBs724GZKiiybcnp6THygQfiBz261oSxrTk/u0Kue\n1c0Vn3z9dW5ur/n+7/8+rm6v2OYFbdPSdS3L5ZLtdo9AkgTuhP72t99jvSnYlDV141LMgzCk1w2D\n7XjpxbsslxNHb5GSKI4Jg5A83x1o7R2dVowmE/zAJ0oOfkhXeKGtA9gGUYzpDE3ZIf2Y+eIIGUR0\nqqdtO4q6YjqfOz6n9BADpHGCUh290Qjr0fUDeVGiup7Li6fMpzN8GdA2tWN2DgNBGKL7geowC2na\nFqMMw2CetQSHAeqmwSJIsxFdr8mLgqossYODGi5nC6T1mE5meL50ZA4MkyQh9EF6Bk9AP0DR1LR9\ng8an0wND3xP7IbvNhlD6+MJDdYahN8ynR0jPZzpbYHrNaDSiahTrbYHRrkrNshHWaKeW9CVad0Rh\nSOALBuOM8qNs5DBWg1MQYqHrXDaYEB5dqxiMM9GLA3PT+TAFbe06FyAxg6Cqaqqipsj3HB0vWW+3\nKD2Q5w3Xt7eAcJuhcYeN8WTMyfExgfQp8pzWgBE+VdORlzVtXdLrgTCIDkIMH60di3GwvYtash5V\nXWOsZLupMMajVpq619RtgxCGe8/dcxvG8ojRaEZda/b7kqdPbyiLhrZxjNm2KjBmIMtGrFZrx5C0\nBhlESIkTvjQdfesQYddXTw8MT4n0fNabLSDwAx8/9PE814FQquHu2QlVVVFVFUPfMp6NadqW3S6n\nqjrGkzHT8Ywsm6CUQfeWDx//U1SRASyPT1jdFERhwHa7R3UDILhz9znaR9cEQcLR8g7X6w2bvGYy\nCKQ3cFXfkjcbfGlpipxRmhJFR+jB0htBXSvarTMAl2V9aKf5LhBPWI6OjmjaAttbjHFG1wcPHnBz\ne0VVVbRVw2Q+JY5S8rxkMpkwmR6x3uYYYwhCye3tDWkakyRjButRtQ3Y0PXsO43WA3aoXLjnYLCR\nW1DxJIvFgtPTe3z1N77M3//F/5M//S/9C/zqr/06J6dnTOdLVFcQCMGjD9/j/t1TwiB4BrClq9iv\nrgg9g8ajbSrwfNJRTNsZ9vstwWSEH4QoJP/rz/88/WD4lV/9vxilGeNxxj5fs7m95Tx5H22U82R5\nkGYhXV/jDYaiKljM51hrSJKYrncCA9W1DFYQxSGqd347IaT7f/HwhE9RlCjlZpsS5+nxfR9fjkF3\nXF6tsWiOlifEUcyLz7/Im2++hZCOpNJ2NappyNIUKTyqqmKzz/GDEE+4rKhPf/bTXJxfIaTHbLbg\n4ukVQgiSJCPf7wlCzy1yVXWwXxiqIkdKeeAsaqQULOdTrLWs1ivEYLh4+giL5vWPv8av/vqvMJ+m\nSBkeMGbOTGwZ+Pyf+hHe/tY7rNcb6q5FCEmnDcPgAlVP7kzRWnN5eclzz90jSSNUpxlPMor9HuEZ\n/MCxNLveVd7LxYJeOZRa3bVYDHVVkmV3sEYjZMDN+oYsnROEkVMrWstsNsN6AqMtUeTMwcb09J2i\nbh3UNpg5bJtSijiOSbKMzW5L6AdUVUEYhgfaTU/XKadq7VrXJt6smI4naH1Q8sqQ0WhEGIaHLEAP\nz/MZj6cYO7hqZhgIZcT50wvqrsUYy9APmEFTlq1LXhABBokfOSVo1TQopZgkIbXW9Naims5R0X2D\n6TWPz58wms7o245sPOb69hbP8xiNpzSNoihr+t4gzEDoSyI/oO0U9pDjp5QjTdSdepaMLYR99h5t\ne/WM1vN7wclaa+qqdUDwyYjrq6tneWJRJJG+T93W3NysnNJYGTxfMh5NnInbQlWXeEISxhE3qw37\nvZs/d9rg+Y4Ba4YeKzyMHhisoNea1WrDvfunLmdxtuTq6gpfhqiux5Phs+oxjBIQgigOCEPY7XLy\nokK1e/wgoesMngjI0sDl77U5n/rUSyxmGVkaI4Xh0jP0ykEhVOvsUZ4nkQHkVcFkMuLjH/84aRRj\ntaGuFFYbeq8nDCK0NgfvmCKOItbrNcKzxElMECSuvWoMUgZkyegARzDk+R4Q7Ir8I+8ffywqsp/+\n6Z/+q2enI/a7GimhrvqDMdHjyfkVELLZlLTKsMsrgiij63uyLKOqNgjPEoa+o90bfQABN+AF5EXN\nerMljlM8zzv0zKEqcywDvu+hjaascnxfMho5sUTbdtzerjBGO7MwgrbRHB2fIITH7c0tTdMSRAHz\n5ZyyKhhPR9y/fxff9yjyAq2diqxtFarXLBZHDNqAdWX648dPCeOEJ4+fcnx0ynq74wtf/Id4Ycgr\nr79K0ZRIz3ledFPz9lvf4o3Pfpa8KPjgg/d47t4Zi6Mlk9mC69Ut+6qi6zXHJ8dI36dpctLI59WP\nvcLF1QWDZ7i8vCTwJD/4g/8M0/GIJEuIk4jziwsMA8oYVK8oStcK9Sw8eO4eWGfmFMI6CbpnieMI\nX0oGBtqm5vTklLJsyPOSMEmdwX0wGK1I4pDA94miiM1mi9VOERbFPqNRSprGlEXFneNTuk6jh4G2\nbZhOJ0xGI55//gFdq1gujtC9xp1sI3rTs9sXCCm5ud1Q1S2vv/5J128XHoN2SLEwCNG9IctGmN61\n0NI4pipqqrohSSJeeukl3nn3fcf+DEK++41PcXN7iQw8rm+eYqyjyQdBgBl6kjTB9yV60KxuV2yL\nwiUNHJz1w6EdGscSgeHTn3IeHaNaqqZGdQoO4g63qUSMMtfu6doefVhgq6Z0eDQsURRjzODINjIk\nDGOKsqQoc7qupe46mrpzNAvPRzAwDBbpCeazGVmS4YUB0g8IwpBOKVTXkSaJUxAmKUp1eJ6H74d0\nqmMYHAQgDEOCIGQ0HhGHMdJ31Urf96611GuMtiitKauaXvfMZlM6peiqxs0Sg4CjxZLlfI4MPfxA\nuvet1rT9QK9dJWiFR1O31GWJ8HwG4byCuzynaloYYDydcbtakY5GrFYrDAKDR1W1tE1P1/VgLGka\nw+AW0DDw6VV/SA2AqqxpO+f/atqWrnOQbc+Th0rTHuJdHAXkO2gqrXu0+Q4VBU7vnGEGy2AMgXRz\nbzMM1E1HemihdX2PH0bPoAu9HmhbRdNpBk/S9gNxGjFYQ93UZFmGUorjoxPKqiIKYzxfMB5n+KGP\nMZowiuiUIk1TVD+gB/f8B0FIkkTOn6d7OqVpu46jo1PWmz1t07tZNh69akgSyf0Hp8zGCW29p9cd\nk7FL73AgZUUQuLaq6hVnp8csFovDPDs4hP8KkijF9M5rV5clcRDgh5LJZORaiYE7FEQHBajn+WRx\nBlbQNgqjNUp1TOcz4iTm3feuP1JF9sdiI/vrf/1n/urxcUYQpBitKcuaNHWy9lE2pigqZrMpSZoy\nWE2R74kjH60rfN8wmaYY0/HBBx8wmo4B2BYlwnOoJRm5oLg0jQmjkLzYMZ2P+PR3fYonF4+o6oLl\nckZZutPofL6kKCqk9LFCEAUJRV6TVzWbzY6Ly0uU0YRJyHe/8VmkL0AYdrstMBCHMaMspVWapu1o\n2p6mbWm6htnkiMvrW2QQUVY1VnjcOTsDT9IaxcnZKWEisZ6l6WreeefbtE1HXZbUXcfJ2V2+9JWv\ncX55w67pUAN81xtv8O333ydNM6LAIww8kpHPoGuWo5iu2DFJY+q65O7pMZ94/TU+99nPcHFxyaMn\n5xSdYlOVhw9Bz3wyJYgDB0EWTtYrsPRao41G9R2O8NDQ9a3D+BjFbDbjyeMLOq2pawdV7VRFU+UI\nawgDwXq1Yuh7yv2eusrJix1pGnN5eQVWsN9V3Gy31E2DH7iWUl1VrvduJT/4Az/MW2+9ixlcztpg\nDXXX8trrn2B1u6ZXhs22ZL3aU5UdeV4jPZ/Ndk8aj9CdJkoTVOc+yEXZYK0jG2y3OVmW4kmfII74\n2Mee44d++Ad5/OQJT84f06meJEkRHhRFRRJnZGnCxdU1TaMIwviZCMbzPDw5kKQ+UWA5Oz3i6GiO\nx4BSPZvdFk9IjBHoHuqqpam7A35NHxSYHl3f0/UtCEkUp2TZhLwoaVpX6de1qwBV7w5/ztfoHRLT\nnfAj3++YjKd4nnALuOchhaRpXdUzmIG2aZhOpwzWMh6N3ULeNvT94BZ4pVCtw1sJ4dF2HabXhHHi\nBE7GOHHFIAj8mKcXT4mkT1OX5LstcRqwWEzxI8mLLzxgvb3h8voaZQyD9CmbHtUP9ANIz0EAhO+M\nzHVeMZvN0ModbvvOKQVH4xGL5RFIQacU+9Ipem9v3axLKYMxA1EQkSYxIFzcCB52sCgzUFYtXadd\nmzeJqRvnD3OpA2f0yvnkXMUlDwpJ9xoO1jgFnzhQXpqGwRpHogl8AulTVSUATdehtaFTPXleEUQJ\ns9kRm+2evKgQQrDb7Tg+WSKEYDoZEcUhVdkwWBf0OVhNpxxuazqbuM9X50zaRV45k7J0G6hhII4i\nJzYpK5RqOTu9Q6da4jhivXacSqU6EAMPnjtDdSWL+YjZbMTV1TXb7ZYgTNhsXAt9MJDECUfHRxwf\nHyMQ9KqnrmqqssITEmEs47Hz0r704otMJiOKOAgwAAAgAElEQVSiUJJEMapTBL6P73mOJiQc/WN1\nu2Gz2eJJJ7qJ4wg/DgiigG996/yfntaiEAJjBzbrG3Rf8eD+SyilODo+Yr3aEieSdCQQ0ieM5tTl\nhufuTglDqLqCpi5I0xgZeOzyLV3XE/oh50+fEIWBUx4JQW86Z+aQA1VX8vjpI7TueO31jyGFR5yE\n2EGy3e7I0jGPHj1iNB8xCI9GORWNCnhmgg7jmCfnj1BKsd2sOD09PcAyPd5/9wNO7p49a7kEByPl\n5fUFSZaAN3B0dkQYhvR9x74sMINis8u5d+eItikpqpwoTNDG0vUDR8slv/YPv4zqNbXqORUeX/vm\nN3jr/ffp+566asFamnJN2ysWswlnixn/+o/9GNYKjICLy6f87Z/723zlm1/HWoH0InoLtVLowZJk\nY/K8ZBADAxZrNHEYHQI3JXowDKanaxVhGDp1nbGEaURZbBHCIhkwwmAxxGFAT4cdNMvpBFU1FEWB\nHTSmb+l0w37vaCTTyQI/SahvNsRxzMMPHzGfTZmOxqTZhL4zfP03fwdjJVXT0mlNURREScz54ycs\nljOSxPDm2x8igxjpBUg/dkZNX9DUmnEW0auBAenazkqjlCJKYmaLQ6vG9zF24NvvvI/Shn3pugDT\necpmvcPzHB/TDvUhHqOn7TRB4AJgAdI0ZTyJCcOBk1nM3bNjkiQh3zWs12vwgsMcZkDKgKbVWDo8\nX5KmKcYOdL1CSI8gTF0SQtNjKajqjl5ZsmTkkpOLwnng9luemy9JM3lg7VUuxcA66v319S2vvfYK\nrerZF4UTKpiBuq5ZzqfPpOf7vKStG5IsxQDXq1vu3TmjbRvGoymD1YfYk4HGGKQfgNYUbe0sBgZ8\n4fH5H/6T/Pv/3r/DZDLiL/zF/4C6bkF6vPXOtxkGQ5wmmINa0FjBarPHGMMojpjMFlxdXREFAt02\n1KqntzCeTtlvDbt8TxhHPL1+hzSNmUzHzCYjNrvcGbGF+zuiJGE0GaN7Rd258FN7MC0PAjwvQHgG\npTTCFwdVaHDI49o7s7S1SOkfUiIchQaGwybmAkEDL3CIMQnTiQukTOKIIt9S1yVHRydc325ASJLE\nmfw3m4eYXnN6ekLfNURHC9IopTY5+82WbDJmMpkwHY0P4iuwuebOHdf1ubq6ZD6fE8cJOQVRmBAn\nIx5fnLNYzliv1wRScu/OGapvOJpNidIMISJMH7Ja75hMJhR1Ra9diO5vfeMtpllMEEcMSNabHb0C\nHUlGaUg/fMcaYbh4fMFkPMb0iiSM6ZRmEqcICYvljKZ1h9k0jRm0pWk6wjAkTSM++OA97j/3EkqV\nICTC82m7njhx7dFm73L4Pur1x2Ij031P12jGkxFF7jiAjappmprB9hwfTfAjQRSGrFY7vu97X6Nu\nGwwWMTj58G5fEPgxqnNzhcurCxazOaP5DJ+QXncwuLaY9D2E5/Hhhx9ycnLCex885vn7bhg6GEnb\nagZ8wiRGWInRYJH0xhImAkOP7wUkmVNFrXY7gsinbVtG6aHtORtR1gVd1xFGPnEcIDyL0QFBIp3s\nOkqIoog3v/HbeIGP8DwWyxl1X5MkCfP5FEYT6CEMAnplKJQlrzqUavnGN7/Nduf8GJEfUBQV1rPE\ncYodXD//ar/ip/7mf8Of+bM/xrvvvceXv/xVBt8n7w+RHtIJTwYGgiBkMkpZb/fPGHKR9BFS4HnC\nzcbw0Mq9IZVSWOtaT1mQUZY1UhpHT9c91roct0D69KqmrRui0Cc+mmEGTRo7hFDTVkQHqPF2f0WU\npVxeXRHECXGS0gNl0VHXLXneI4KItncVTNMaJrOI3W7H6cl9ookLjqyrljT1CMOQtlVMxilSWMBz\nCdTdQFUVaKNdlIixtE0HxkNIgTWa282aKE1cLI2By6fXBzWkwlqD0h1HJ8ec3nnA13/7G2gGEII4\nCLlzeow1Nca0TGfH4IEXuGQHrHQRRUIiPNdyldKn64xro1lBXlRYjGszKgiCiNv1hs5Yd0rXHlWd\nkyTu/Y7nESQpl9c3nJ2dEoY+6chx9MIwRA2WdJRRty63btAKbQf2+ZrT0xNWqy0nJ+55rZuOIIjQ\nwro5ThTx/qOH+NKpTo9Plk7l5vtYrRAiojcD6+3OGfiVAc/jt77xTbwwou0VjepRfY/BMp/PMcZg\nVUtT1Sgj2O4KegtikAzCzVOSNMKonulyifRCur5ihM9kfkRbN5R5gRSWUZrStx1WeviBRxpHdDhS\nj+5abq6uWUwnBCI4tAiDZzMxpdSzmRh4+DKmLGqiWcJms6E3Gs/zCTyfJI0PbbEJQSipqoLVaufa\nzfMAT1rSdEzou/bzgGU0mbq4qVqBkPSDmwkxCGaTKb7vc3ZySpHvXERP5CPFCNW1iMGy366IQ8np\n2RmbzQYhJFe3VzRNw/2zu5TFHoDT+Zyj42PCJObJk/fx5YA0A73qiUKfO3fuYTQ8eXxO2QkuV3s8\nIQ7JEx1NHdOpCjFY7t5doIcB6Wt83zBYyWZd4AUhsSfYFxVZMkIpzXa3YzqeEcQZ5+fvE5zdJfET\nTD9QlqXzglmP8SQ7+AQ9drucKE0oihLPBuT5lvE4o2hL4tEMMwx0XU8gP/r29MdiIxusReBxfX1N\nGiUEQcCD+T2qquLk2AVWRkFEvlvje4L1ZoWMIvI8d+od4RRKfhgxm83YrG84PT2lqdyJ2Rs8fBmC\n71oxjpVmyEZjjo6OKIqC280WrdUzJ/t0OiYIvYO0tEdKNzhVfU+URERJxH6/YTJx5symdIvb7e0t\nURQRRD7ZKIXColVPVReko4QgFFivp1EdeuhZbRtk6Ayvp8fHqL5FmAEh3N/pW+k8UULStB03q63D\nVImBplYslgtmsyl92yGEZDKZupO7hdtVThKFaDvwt//Hv0MQBETJCNMp5DAQBL6zPjQNvh8hpWtv\nhGF0UKQ50YZWhiB20mHf98iy7CC5dtLhyI/wPElZ5kRR6JIIrMGTzpPTtSXTSUzoC2QWE0URt7fX\nCCEPQ+sZq9Ut43HGgIc2PAt3TJKEKAi5vV3TVgrPN6zWl8yOjpFhQqQH7p3dR/eW8WiOUg6ntVwc\nY4VEqZ5PfeI1nn/uPl1X8/WvfhU8Dyl98nyL51kms+nhdW9JkoTpbEzX1XSq4eLi0s1/OkUQxIf0\nBcfIG8xAVZTUnouf6VSHQLBYzthsVizmCdOxa9WMRwl9bwiDGN8PuXd0Bxm4U6hSGhn42LZl0JbW\nuMpMCEnXugDCfug5OTkhLxo3s2oa7OC4k+A2ujjWBzHCwMAA0me325HGIWXfMZ+MmUxGbNcbTK9J\nsxH+8g5N03J0tCCIfDxfMJu5dF4npw9QxrU6F/MZWZYcQhcN2rrkiq5ukEFEnGQ0naIfLL4X8sGT\nJ/yn//lPkqYJT683eL6LjQnClKYuSZKIszv3uLy65Xh5wpOLpwjh1HvWGpbzKYYeoy27Xc4ocWbm\nk5Mj3njjDS4uz0n7BE+CUgozGCI/II5jmtplkVntWvSG8YHR6BLaJ5PvUPGdT0zKgKqqCCMfS8B2\nu8UYixDyYP1wB7vpdEoY+ljcvFQp9/u+I+poREMkPfSB5+j7vssn9XwXZBsGxHHo7B19TxrF7PYb\ndpstWZY5eTwO+9S0JUmcIoMQz3OdIikd9qkoKvI8J0udzN/3HMG/7lo+85lPc351yXg6Yr/fM5/P\n2e83eNbHkxH5fkNd17z44ovcXF9jrcd2XzLoDqMbbm82jKZjptM5dWsotjXCT4jCEUEoCQOJ7i1N\nrei6juX8lOurG6Tn0/WKJM3Y7rZMpmOUarm5WSGExPdD8rJCGcV4MmUwkkFa4jAi9AOiKGK/L4jj\nmOl0eqh8H32kPeQjb2RCCAl8Fbiw1v6oEGIB/C/AC8BD4M9Ya7eHn/0J4N8FDPDj1tr/44/63W54\nOlAXFUmQst1u6VSFh+DJZsW9e/fQWjGYDumHBEHA4/Mn9No9br3Z4QU+vh+y31XcOTuCwaBaTdto\ndus1UrqWTb53Q+t+MCTRiO22Ik1H5PtrhPTcSdb30Lalbh3bzwyGRrW0fc90OqW3in21J45Dqi4n\nSz2SaErfaXwZYIw7+W+2Kzwshp4o8bFo2r7HqAGlFNPJHIPl+OTEnW62e4R0MvWHH54zn0/JkpS+\nrqiqjk4ZiryhaQZms5TROGSwkiePLzm9c8xktmC3L+mNZbXZcnx8TDpLQbXOn9NrvNBSq570kPkW\nxy7EU2uNUi5Kpaoqt7hKya7rDidoy36/J8sSsjgjDmK6oSMO3Exmv9/RtjUvvnCfru8c9SPymS5P\n8AZDFksYWlTbwBAyn41ouoZAwnD4QDdthfQFTdMxnU7xvYD1ak+aJNw5u0e+q7i53dAbqBvNh08u\nWMymfPy1z+J7oJXld978FrH02ay2zBdHDP3Abpdz96znF37hlw5sPUMSp/iB5OVXnidJEsqiJS9K\nNpsNy5M5+6JDK0PRNs821WFwraTPf/7zfOlLX8T3PKzpeXqzYjweMfenRFGEABbLMdbUPHj+Dl4o\naFWDLyXFvqRsaoqmdfE6YUx3IPlHWcp2Vx2G6GPqumZ1WzCeT7i8vCGKYiez7wcQEisGtvuNCwRN\nR/gyYFfk7MsG3w8pqpJhUOAJ7p0eMR6lFGXOYBRJHOB7lngyonxaclXvee2114iamMgPQWg6JQjD\nA13GWvTqlu95/jOUZY4f+aTpiKbVpGOfzW7H4Eni0ZhKlezKktPjE7794SVPnz6l7TuOj5fk+Y59\nXnF2csx77z5kNtujesN2WyC9gOdfOKOq3EwsCAKWyyVR4KMaF50i7MDHP/EqX/7SP2A0mhBFkocP\nH9L2Tp05WywJpKuyVN+7dqAnWG1uWSyOkDJzh7dW07a9y/cSPW2rGMRAHMcsl0tunq5oe3WIrvHQ\ndniWTD0MAUkaUdc1SeIOgFEUO/I+OA7q3uUY3rtzxvn5Y5reHc6askJXDcOgGY0mNG3FaJSSZQlN\nU+F5LhKl6RR+GKP1wM3tnvWmRGtL11VkWcbdsweIA21nOp3Qdg1hFACwWm3RbcfV9ZrPfOYz7Pd7\n8n1BVbYs7zxHXfVYKzi/fHqoqgWj6YTt+oYoipgtF4yShKqqaWpD3wuiJGN1W2BMj+lbXnruAaoT\nvPjCJ3j//YcU+x0P7t9DG0lRdVzf7mmVozAJG/E7b77DfDFC+JYXPvaApmmoypyqaLlz5w5FsSfy\nI+6e3qWsa5TS5MX/P8GafxF4C5gcbv8V4FestT8jhPgrh9t/WQjxCeBfAz4J3AV+WQjxqnVOuD/w\nstaiO81zD15wPfLRmJuba9IkwtqBzWZDGEd0XU9ftq63LX26qsZayWJxhLFwfn7Dyy/dd8PzskVr\nj6vLLevrjZN8R05KCy6yXkxDrIB6tcUSYHpDGHqOxWZ6R7r3PXrTo3pHtbaexPaCLB27TCOrsbhF\nrm07wsCy2WyQgU86SRilIXXZOnq8DNBGUlfuVN0qQRgm7HbOz9N1HUkagw15cP9FRz3vepTqMYNA\n9wP37t1/Nv9o6po0jQmiGKyPL0PW60d0vcFY2O12aK1YTMaEcUQUxwSeizKpDhDiYfAxBqqqxAt8\n2qrCWunmRoestdVqhS9A+oLQE8Sxhx0Gzu4csdlsyMsC6Rsm04TLmwu06vD9mKapsMbgDbiW6iH/\nKs/3bvaTxHiBz3bn+HNBFGKswFrJbDZjvd7ieZL1PscIj8iPePnll+nefp/1ekfXw/XtHj+IqauS\nUPp89rOf5Ru/8y79riDwPcpc8fDhQ4SwLOZH+H7IZrelaRruLE7Q+nCiHlyIK8Jyfn6OHgaSwCeK\nDi1baxHC4/TslK985St0Xc9f+A9/nJ/92Z/FFxAI8H3BdJId0ogt8Sjh9vaa5WKKJ116txmcMk0E\nDue03+wJw/gQnRMQpwlJNuHRk0tU507tt3uXxRZHguPjKVnq5mJSQhCHzsxdV7StwhM+1g40rUIg\nSUczVK/Y7iuSJMGKgcGDOAuchUBCZzRV1XN+cUUaRwgpSUcjaAx9r/n0Z76Lhx98SFkWtF3HeDzl\nnXfeoaw6V+H3Pb508UVGOAWgtZbVakUZx4Rxih4G1qsdUeBRlw1Xww2BF5KECS+/+ID1akuapvzk\nT/01vvjFL/LFL37Rga49D89CHKdIfIJIcPH4nM1mw6PHH3BydsQgHBS77xpmkylVqei6FRbXWu51\nRxAndL0hkzFV2dAPhq7rDvFLziAN0NFzVd9gBleNCTsQhRG+7x0CNQ113VNWOXEc4nkuYDKKQkZp\n7Cw9yzn7vWu9Gyto1UDdtIxGI0Zphuk7IDqoIHs3Vw48JtGYoiic109INpsds/kRZVniRz6+Lzk5\nOUIIR15hcEGdXdeR7/cu1dx6SCk5Xh4503/fkec77p7dIQ4d4T7wfZLBgB2IpE/nNbRthTEufHfo\ne955/JjZdI4vPKzWeINBMFAXJUkYcX21ZrGY8a2336aqKkbjlPFsgVEtwyAoi4a66jk9PeV2e8Or\nr32CulwznaXstzviOCIMJLdtwb5wasijxQmr1YrBwJOLK/Tw0ePHP9JGJoS4D/yLwF8D/qPD3f8K\n8EOH738O+DXgLx/u/5+ttR3woRDiPeBzwG/8oX+EH7Beb0mTAH1ISY7jhLbrePDgHtvtlsHTfPu9\nD3jttdfY7XbEccxmtyXwHBXB9wNOjlryfUnbKAZtWa+3COsgvEpbogGCwCOMA9fjLjsm4wVePEYr\nxcMn7xHXkvnCkS+skJQHA5/vB0RBzOZmQ5aGdEND1yuGwSVX+x6YfjjIkDvGiSNJzyYps/kUrRWe\nLwmMoGkUWMFiFlDkNeW2cGm6FnrP0quBNI2pqoZAhty7e4eiqLi6vCE4xE6MRglRGhJFIXm+RxvL\nerUiiceMsoABwdXVFVL4JKcZXuCG1HVRHR4/JUmSgwJLEQQR3YHoniQJ2+3WpfdKR1EwumWSJmSp\nj+kbhBCkyYLk7hHqcUGnDMbog98moGl7fN/j+nZL3yrun50yn4UMSlM3LXrQ2Lokm4yRQYCnNb4M\nEcbgHYQxJ6dnnJ8/xXqSplVsmz1d75Koz59eu0RjLP/13/zv+Lf+jT9L6/Wsbh7TG8fC832fXnf0\ng6WuW84vL3ntlY/Tmw0DLuZ+NI7I9zVaa6IoQinF6dkZRVEw4FRiAwbhSYIw4OEHj5kvpxgz8M03\nv4XnS3SvEBgm6YQokAgbuNidQRNHEXXbuk1JNcRBRBBlGOPRDwPbfUEY9uhOO6O4MZxfXLPblYeN\nxqGqhsHHDJL1JicKYgQBSeKTjZLDfEdQVh1dV5KmIxbzCVdXV+z3GolFtR15XjAaZQS+YTmfAxB4\nBiM89nlHnj/i5Zdf5PZ2TRzHpNmUuq4BCOOIWPdsNjsnww9jVqsNMijReiAbTdDKOKtA07l4pDRD\nGE2aJXz43sM/+MP/3u+/+fO/APBp4M9/lKWJt97//be/9YdkMTbtH/47smTsOKzWMhpNmM8X3Nxc\n/X46vnX0iv3ezY+jOCBNY7rOjQD6zuGbnnvuAVVV0rY1k8nsUA3uSOKE7XrDbDZhOk4wxuBhmc6m\n6EOlD64a8zwfpXLiJGW/zRHSiWe6pkLORlSVi/j55MdfJUtjLi8vCPyQIi8ZeifEefHlV/ilL3zz\nd//Jb3ykpxOAX//CH3Dn+ne/3R6+vv/4d+9b7eHh+f/7Ye9cuK9vf4QO4Y/+qT+B6QfCKKWsepo/\n6kX7f1wftSL7G8BfAsa/575Ta+3l4fsr4PTw/T3gS7/n584P9/2+Swjx54A/B+BLj7Ozeyzmcx49\nPme7d3LRk5Mjnjy9JE4S3n77HQYrePz04vBCa9pSEc1T0sRtZlF0D0/4nD9do/WA8CK6piZK4mf/\n7YBhMB6q8/B9dwqfzScUxZ7Fco4xHeEhnyyMYrb5Hk9CkiQutDPwsVbSND1101LVDUEgOFrOqLsd\nEJGkEdkkA0/QdQ3GaKLQP8BJBfPpmPFoTlnWCDMAHrPJ7FmictcotuuNW1jtgOq2DAcaiPBcCKb0\nAjrTcLuuULpnrAytalgeHZMmI/KqZr3ekhc1nQajOqzRWByVIYxjBjGgrXahf75PKgW9cUPatm1p\n25bQh/EowZIwmY/AdAeqg6KptyTZiCxLyIsCPXjUtQs8TdMIzwuIoxlX1RVVL+gLRRoMBGlEOIRY\n34k4siyjbirmswltWyMOMNVHTx8yWOhqje4F4/EMZMjJnQV127DedazXW6QM+N/+7t/j7t273D29\nw/d+7g1+5Zd/jVESEniCdtB8+OEj4jDl+ubyGbZJacN6W9L1A8IMeMJH4JA5vTWoVjEYjR1cFMrp\nvRcx+gm7vEIbw29+47fpup6j4xmjUcpsnlHXDX4gsb7zNFqZULUODRRHAWE2JW8VXe3aO5PZnJvr\ntUMBJRlZNqdTNUGcoasWrS3W9FRVS132B3+XT9W2TGcpk/kc1fcMAo5Ojnn08AlFWTu7QZqi6sLN\nhK2k1YqyGwh9qPuBJIoJAk1ZNPRGoJqei6drppOU29UeuS7wPJ9y71S3dd3x6OE5L730EoGfEoVO\n9Tmfzh1EYLVh1PYsFgsng7++4erqijcff/Sk338SV9UUgHg2D6vr8llVKaXzlu7yLVKEtEojgCCK\n2e1yjFHcu3ePQFrKYkdZbNlut2TZmOeeu8/1zY4gSlBG06mBzWbH/bsnmEEfaC79oXUrWC6X1HXL\n06unzvsnB+IgAjEwm07Y7jrqqqBraubTGddPLxhlE+wQEMcpT5+4rMK+7/m7v/zlf9JP6//n6+/9\n0m/yz//wp9AIWmUY8HHTqX/89Y/dyIQQPwrcWGu/JoT4oT/oZ6y1VnxH5vYRL2vt3wL+FkAYSpuM\nEnb5lmyScXLnlK9/7bfIxiPKsuT6dkOaOWPldObEGXEUcu/+mDRzrYKuraibHikDLp9ckWUjV5kN\nHnWt8Xyf0/kSjCZLU7rOZU/JIODi6RXPP/+A7e4GP/xO267l+nrLfDFlNHWO/P2uwvZQtoNLkyZg\nMU8RYkAGHuPxmDD06Y37EPiDwAt8usZ5VcI4pu8afBE5TmQ/UOQFYTBivdoQ+j5hGLJZ75FSYnRP\n03Q0zQ0vPvc8R0djZOCRZCHr9Zqq7FgenWCtZbstEINkt80xWmCRhFGGtfDee+/jS48XXrxL4PkE\nQUCnHEdtsJrBADixwzBY6sOJOvQD7t9/Ad3XTngRSU6O71PVBVEU0DQuX+jmdkPbarp+wPczyrJj\nVRcEQYLRoBS89fZjolAzSS2TJODOnTtYAb2q2LR7lOq5vrpxwZ9Skq9yiqJhPJ4yno7dDKusuV3v\nmE7n3H/+BY7vWB5+8ISyWoPRVHnBQ6XolQXpUTYt2gLCd6N66TPgkY0dw80aTRS5RaApC65vHBEk\n37lN4N6DU3abNVq1BEFEgIe2MJvPEUKwWq2wRvPqSy8Shh6Najk5XVJWFWboMNaD3lKXHdPxAoug\nqg1N3bu07aYhjBK6FtrGUgSKzeYCYXFmWN1hrURKjzhNaGpF2/aAQVlNvy1o336Pe2en9H33jDxz\ne7t2qKSqxk98JB7S99lt3PsqCpwnarctWCxO2O5KrB6IwwQGwep6y/0Hd51pPBkxnU6J45gPPviA\nPM959OSaNIqRMubsZEySJOy3OW989k+QZBNWKxfC+PyD5/B9n//+4AL6/A/8CHXtfFXT6ZQocEP9\nyWRC32ukH/LkyQWPHz/k1ddeZnl8jOd5qEYThNB1CikBoTi/+JCHj97l5vaKz33ue4iiEG8wNE3H\nN998h7JU1K2m1wJBwNnZXbb7HcFBYKSUmx2qvjysSB5Yj2w04vr6CoRFej4PHjzg8vIC3/eZTEYH\nT+uMqshdFR8Iuqahx0n0x6O5ez81DV/72te4vtkSxqnreDRONLbebTleLKnKljQN8f2Yum25XW/x\ncK+9EB66U2RJigw8jhYzjpdjOlVz7+7Hubm6ZugMtlf40tk+Xn75ZaQMmM81bx4qoH/2u1/keHnC\n5mbnKPbTMW98z2e4ur7gzTffJS9aRmHMfDbGqA5PDkzGI1pTYa3h+77v+3jlpVd45ZVX+NJXvsov\n/sIv8fTqmizLOL98yiDHtMopngPPCcdcmoLjdwqtee7+MVJYQhQPTud4QvMDP/A5Xn/9VYIo5K13\nP+DP/yf/AwBSwKAHTpcu8WS/7z7SfvJRKrJ/DviXhRB/GoiBiRDifwKuhRBn1tpLIcQZcHP4+Qvg\nwe95/P3DfX/oFccJ0o+puxIpA7797od87NVX+O3f+RZhGJKNXLUynR/hBSFCOAyMlJIPP3iEEL4b\n2uKRZWOwzpAqwwCrXbsrTWOs7cmyhJPTJY8fXrjF6HZDP3RESYxfB4RRxH6/pekUSeISgbuqw3qC\nNEpYF1uSeOJCHicJySgkiiVVsSGMQvRhtiYQ7Db7ZwnCAs+lEdsQIUPyXY6wHnaQlIWDu3rCp2sN\nSTZ7FuSYZjO224army1hGJBmTgbcNj3rTYH0ExbzI6Q0WOGMyK3aEfgJ203upMPhgB3c/GS329B2\nNelo9Ay3o7XL0NK9pVOD89YwUBQNZVkSeB3LkyMWsxF5vkLpDumPCEMfpdpnQF9PSqqmdnzDKHNp\n022H6i1F2eKN4dXXP0WAJt8XWF8QRBF11brnoVZOgpwkFGXDZDwnihI381AGT4ZO5bfaUJQ1SZSR\npjFxtMCYjqIoyAQIAj75qe/i4YfnbgPzxAH/1BKnU4LAocHiKODy8pLLywvSKCabZNR1S7kvSKOY\naTpimiTsNltOTu5QNg1VVTObz13V2lQMWvP222/zkz/5n/HKqy8hQ8Gv/4Nf5wtf+ALKaOq6pm5a\nEL7jHuIUX1qDGTyM9kjSCU29Js/Lg9y+QfUtJycnrDc5VoPFQ+me3khnD5AhenCn/OvbNabv0Kpn\nMppizYDveYRBiMWZaVXnQMkWD18aVo3jQzMAACAASURBVLc5P/Ijn+edd97jE5/4NFZrrq6u6PuO\n5fKYxfwEY3qWy2N2ux1ZJnn55ZdJ09QlnfsuiLSqKlTbsd/veevNt1lvNwjpFHphGDKdzp99zj/2\n6ivP/Gc3N1e89e1v88orr+CHIVZIYulz5/4DxvOFS8nOdyRJQjae0umayWKM6mp6PXA0zTj6rtdp\nu/sEgeT29pI4zpiMnaT9+RdOMdpysy7Jc2fliSKfJHQeLqXVs3aeuzwsTtAEjpSvreH84oIglEyy\nCadnR7z86sfYbbaU+Z7Q9zFGsVlv8aVkNEroOk06ynjy+Cl9b5jPZxRVA8BsluF50Daadz/4kDQc\nUbeaqqo4PT1FSI+2bmhb1/VIw5TZbIbnuXn38fGcOJpwfv4Y1fYcz46YTseUTc5k7FB04PPhoyfP\n/qu/8V/+t7z++sdJkxF+koE/gG7B99zyLwKs8ICBXjt6jOd5iME9Pw7pBngBn/uT/yo//pd+Cjxx\nIP53PD2/4Ld+67f50j/6Mj/7sz9H3TVu1CPAE4b7D04JhCEJPD798is8uLvkk594jeOTKQOWv/8L\nv8jNtvjdDUl4FHXBPEtZjic8uth8hC3qI2xk1tqfAH4C4FCR/cfW2n9TCPFfAP828DOHr//74SE/\nD/wdIcR/hRN7vAL8kXWu6jXvfPCYQVuE56H6lmxUszw+cdlBacpQteR57XJ/ij0ny6NDxs2YrjXU\n1Rbw2G73IOC11z+GtpqyLNls1kxGGUmSEMcx2nR87GMvst/vefz4IUEk+drX/xEf//irIPSzBX65\nmIHV7PPcZRoFCUeLY8qqZbvNGWxPr32E52gYHzy85niRkMRj5+8YPI4WJ2y2W/A8VOt8RlVR4bI0\nLWGQEQQ+UeD4ar3pkF7IZrOhqhpy4SJXNpucLEuYLc7Y5znbzR7VQ6+h7TS7XYHpHXqnLyv8wDAg\nUF2PxWVKFUVFUddYOxD0g4t/EJJhMAevnPtgDgZ6pfD9ACldBM1sPmKzWYExBJHnJPsypO+dDDlJ\nEuQgaNqKIPCJQ3mQ3Po8eXKO9OHTn/4UFxcXTMaxC97zPLd5dk5i3tbdgWAgCfzk/6buzYMku+o7\n38/d7809a6/qqurqVVKrtbQ2WgsSMiCEWIxtGdt42GwwthnsmbfZM4MXvOA3Hs/zjm1sjLHZ7GeQ\nJSOBBAYB1o4kpJZa6r2rl9qyqnK9+7nnzB8nu5rniDfDvJiJ4N0IhTqyKrKysm6ec36/3/f7+SKl\nyaCv3+tC6oG/bfv/j5mFzq7T7dbNzQGZ0EKgjW6fJBXkqgCpiOOcubltWsAiMtqba8OUZ1d78AYd\nKjUtLzdkwfTUJCONJi+/9BJvuPP1LK+t8vSXvoQFhIMB01NTnDx2lMnxcTzHYnNzkzNnbObmpzUI\n2dLvYRhH+uQvFSXHobPZxTQ8+v0+SZzSqNkUuaRSqWjptVRUqiWazRpBEDA9tY21tXX6g4gw1PTx\nql8nKXI8W5vQXdNg965dnF08w8033sS5cyu027rFZbsGt976KpJUcM/n79XtrFyyd+9unnr8KWZm\nZghcF8t12HXwFdqTBlx11VV0Oh2Wl1cxpGLQHdDrd4hTHX9kArt37UUZNlIpJiYmCYKAffsv14zC\nQcTS0hIvvfTS1ue8EBLLtAHB3Nx2xsem0Dh47eEKc6HbnRIK02Xbwl56vR5RnjNIJL00RWQps9um\nuP6KvQSeBFmwvLrCM888Qy9TpIXH9NxeoijGdS2cgWB83KM5UkeKgvWNLpVaGcOCfu87VXF63hon\n8Xc8JhFFRsVrUK8OeZLRgEJk1KtlHMejXA5YWVlBYTAIE44fP0O1USMo1TDTfJg3FlIUkm0LC4S9\nvs4LzBVSJtpvpmB5ZZXR0VHCMCTPM5RCz8eQeJ5LUPE5ffo02xfmCYIylimIk4x+vAqmQS8U/OR7\n3sePv+MnsR0PY7iyX3vzHVi2jTIkGQJXAa49/H0BZWAMtwFHWRi2DUqBYej/pNLEaglpv0sqtJLT\n9T18v8KOHbvZuesy3vIDd/PBX/41BlGfT3ziE3zyE39JybWYGK3jqpw8HnDw+v3s3D6D55rY1YA/\n/KM/xQkquKXyxb9CIWgEHmbJRYjvrq0IYOjT9Hf5zRc3sjcahjEK/B0wjxb7v1UptTn8vv8A/AQg\ngH+jlPrif+15/cBXlpMzNjaGadpIlaGKgkazRqVSYWl5lXKpxnq7g21AkobMz88SxzH9TophanFA\nr9cjShN279lBqeRqdNKQqZclOdVqldWVFitrLcqlCijFxsY6l+3bxdzsNEePvky5pm/MQhqUgjph\nPyKKU+IoQ+QKAwsoMAwTZUgWdkwTlGzkEOXkejZlP2B9rUUcZ0xPThJFEXGS4QUBhVCEYUwQlDEM\ngyiMKZVKGlHTbmOgqQxZpjOzUFrAb5kOGAI/sBkdHaXX7zMYDDBsB9d1EWmGbRl4jmbvKaUjMIQQ\nFIUgKDlMTDaYGB/RuU8iJUn0IL/XG2iqdwGuUyZNc6JBjzTN2Xf5Atdds5uCAlUU5EmCKAptaFVw\n9NgikpLOVlKWznvLc7rdDoZhEvhVpNRx7WPNgIWFKU6deElzJ6XE93VApixMRKZnQGMTE6y3eoih\neTXNFN3+UHTg6r+r7/sYUseMWGaB67r0+xErq2s0x8ZYXVsf3rRgKLj22ivBkKRpjCH1h1jPIxMN\nD66ViZOErJCsr65zxeX76LTanF48y8EbrmNubo4vPfgg7//Av2ZuYTsnTp3k3nv+gdmZKdI8p7O5\nTr1W1tV52EPInMVzZ6lU60xt28byUovduy7jpZeO8H23vpb7vvAAeSHZsWMHRS7YtWsXzz33HHPT\nUyTpgPe97z20u5scP3mGzbb+W7z80nF6vT5hGJMrcC0T01AEgc/stmnqFU2CqFQqOI6WiP/e7/4n\nlDR4z0+9D4kG+nY326SJTgFutXTsSZ6kiCFPs9FoMOhHFEXB/Pw89XqdoKRjTyzTIc01BeZn3v+z\n/OR7for25ibb5+aZn58FQw1VhoGGBbs+H/mz3wXgne94L/V6nW63SxD4WKbOeTMtF79cx682afUj\n2u0uUVJQoOj3+zimQy4LCqEBCKaRoUTM+uoZJsYmKVfqOg/NNMkVOmLIkMRxiMw6TE4FFHmEyhRn\nT7Xodvs6e0yZRHF3eJ+48C+F1RdAwVLiWCYz26YwlaTb6eiWvmmwdH5l6GFTGChs28YvlREiA6W9\nmCOj4/R7HaSU1Go1UCbdbhfb1dBcxzSolMtMTEzw8osvcvW113D69Gnm57dT9vUGlgrd7i8HHs3R\ncbJkQJLGFAr+5tN/z2Zk8Ku//lt4pQbtdo9Dj94HwB2vextV3ybstfjiV76IMgqUoetPlOJvP/0Z\nPvd/34fnav+unn9LMqkoigLLsobQZIsMiZI6I89xNP7PGJJQpAGm6+FZkCURC3PT3P39d/I7v/0h\n5saq7L9sN3NjAZYpKJcD/tPv/wnTMwusbfSwnRJ/fs+jAPz0j76KUydPUCvrENXPfPnQ00qp6/5b\ne9N/lyFaKfUwWp2IUmoDePX/y/f9Jlrh+N0+M45tIPKEICghc0mlUiUKE/rdAUkcU2Q5eRhRHhnF\n9SykBFUYhEkPkVk4jkN/0GdmZpJ+dx1kmWqjThSm5MIiyTM2Fs/T3thkcnpKsxN7HcbHRxkdHeHU\n6WN4voPIcopcEPgV8lTgOGWc1CQUOSgDRbHVmlpttYbudY/eQM+RUA7RoAfYyCIjjkMcS0HJo9Xq\nkKfgOi5BvUy30yEJE5QydMxGKlGq2KJsX3hvAKSh/VwgGZ+YoNaocWbxvJ4X2hbVSonpySnyvKBU\n0mQMIXQlZpp6JlKv11FAkqXafuBY+K6WfHuOTxwn9HspRZ7ieza1kkvZB8c2SHo9TNMlSwswFZub\nbTwvwHN9MmkQDhKiqBh6tBxq1QDX9ZmYnKW11mG91WFdSiyrhWVXiMKMsbEy7Y0NqtUaWV4Q+GXC\nKGEw6BNFPRqNEZqj4ywtLTM7PcbyyhqurQGug8FAR1gUEmHC+eUVAs9HSIMsFYBul6CgXi/jOpJ+\nrw3KpFDaqJrEPfJcMFbX8RKiKMilol6vk4mCxbNn2b4wx1qrxbdf+DbXH7yep771GIePvQSmw7Yd\nC4SDAUZRMDk5iSwyXnnzjZw7d4bZ7TMsL62xtNxibscudu9M8dyA0foElUqNO159B4NBxMnjJ5Ao\nTh47yWhjlDTPGBkdZ32zze2v+T7uf/Df41gOjuOwY8cM1VqDsbExZhd2cPjwYarVOt3NNt2NDiJL\nabU2WF5e1Qt/kfOKG27cUt7pz6aBHLIcgyBganSciYkJvMAfei0rYGmxTZKK4f2jJeaJKGg2mySx\noN3t8OHf+o/c9uo7ePHQC8RhSK05RppESJETJQmlShkhL24OnunSW99EKklmmASeyw2vOMihFw+x\ntHyaE089BU6FKFHkw8TnH/rhu/n8ffcjRYEqUixT4ZoGeZogrArdWNJNQ+Ikw/KC4c/TG4rjVDA8\nRZhKJmqTdDdXKBSEYR/HMLFMb+u1uY6FlAZKGCgEypD6sKoUtmlhokijmLxQxJnk9JlzBG6AFAJD\nKUwknhPoJ5Oazo9pgDRora5hmIparUYhFKZpICWkiQIDlAnnV1soTF7/+rvo9LtIqTj0wgtccsll\nrA19siP1GoUqQOpOhF9u8Pt/8Wk++J//lMx0KE/upNXaoDI5v/V7te0ScQY1Z4S/+IOP8p6f/yn9\nudD9Qn7kx9/BN/75cdbbHVY7PcDEc1yU5TLohziOh2EYNEaaOJ7L4uIihbo42kHkGLa1lSQeWBbN\nkQZn19r8/p/+JT/+9vegwlUcI8FzY0zL4YtffZi9l1zG6cXzzM7O02iOb73esD+gyATBiE6V/m6v\n7wmyh5KKkWYTyzKo12tkWUIuFI16nX6/i+tWtXM+zymKnKAcYBiKNNWLg2Xq03W1UaLWrDA2Umd5\neZnVpTUKZdFpLzM+MsrS+WVEJun1T4GCqelx9uzZQ5pGmMM041IpYGZmhpMnFom6CRsbbURWYJo6\ncfhC9IcQgunpCXr9LmNjEyytrCMSCGoF05NTLK+cZ2pqgmZDg5D7/Ywrr5in30s48vIJVtc2ybNM\nf3iSjKJQOgYFA4W60OlA33QmShlsbnao16ucPHmaUsnHc20S28Q0Tfbu3kOaJmSZIAgCXNfVrcUs\nwzCgXq8iRI5UMUkS43o2QUljs0SeYZgOtm1hqHQoz65RrZQwLUkShwghSeI+cZyTiRTTcFDYKGUQ\npylSKYTMtf+qXGVuegpMm5XlDQIvoNGo0VpfY3SsThymWKbJ+NQ4ExOunsM5HkWhyIcztx07tzMx\nPsXb3/5OJiYmOHHqDLVag7XWBoUyeP8HPgCmJuDHYYQXlOj2B0ig3b0Q/2AOUVuKvXv38NSTjxKG\nIfv37wd0dVcIxe7du3n5yEnW1tZ47etezxe+8AXOnz/P9OwMURQxPj7O5OQkX7j3Ppwg4MUXX+bw\nkeN8/OOfYMfOPTz3zFOsrIWUAo8nnvo2WZqw1uoyNjpJEhk88vWnqY2Mc9NNBykFTQbdkFp1lF07\nL2Vu+wJra2sMBgOQkjzP2Fhvc9+9X+QL93+ZbrePbWufTSEkRbGKFC9ieY+RJPq9sgztl7IoyFJN\nCdEGbgGGpFIqMzIywlhzhJGREQB838ccUkps2ybKdJUdJvEWX7A2MqrpF5aFVwoQQrC+sYlEccVV\nB2i325xbXqJcrTA2Nsba2jqBb+M6JlmUsjCxg/X1izMOIQS24xG4Fuubm+zZe4B/fvSfWTy3yC23\nvpLDp89iSosk1ZuHzBJWz59ltF5mfW0dlaWMNH1ed8etGOTEcUgmIcl8vva1x3RlrxR+uUSUpbjS\nwbdrpHlCpy8wzYCFhXnCXhujKKgGZQat4RokEuqVEnEkqFSqJGlIGOe6AacKCjTVxjQllF0G3YRC\nxmAIKmUfKRW2bSJzQSEzanXNx0zCFM9zKIaMxiBwkEWhRWGJ7hj5lYDJ8XF6vR6Hj7zI+eUlHMej\nPtJEKIlha5VtHMeUSwGtzQ3a/QGfvucBfuFXf5NKc5IoTInDhPZmm5GxixtDBprKn0r++jOf4z0f\neC/KkGCqrY36j//4I7zhjd+P53tEImNgZIxVmmx2QvpphOuahGsxV+3fj+taCGlQFAIJFLLA0RFu\nWqCC1JmAOEyOjfDAV7/OVL3gJ9/+Ixw/9BjJICZOwTIdbrrpFtbWNygFFw8UreVlqpWAcsVn//5r\n+Mw/vfBd7SHfExuZbVvDSGyTPE+3otxBMjrapN1uk+eCeqPB0tIyk94kjlMmTmOCoMaZM8vUmoGe\ngfguSRzrCJUox3IcRCo5efLMMINMH4EcV/PVev0OSgk2Nzo0mlVmZybJUu0pqtVcBgOJyCKk1DDY\noijodrtUq1WiqCAcpGysd3QUQclColheXiGOckrVEkIqTdI3S6yutGhv6liKPC+QysAyHaTMybIE\n29aKPdd19f9tB8/T6cjLK2tbc65yORhCawukkFTLZZaWzpOnMZkw6PV6BKUSSRrhuaZGKsmMQkCU\nhPiBi2EWlMs1kijGcTQ/UCqB5xpcedl+KtUAwyzoDzaxbEWWJXS6PVAaHFyrV3Acj6mpCRpFztrq\nJqXAp1yuUK9XQArCsA8qZRDGmkRSnqfIIzzH1xDblXVKrosQEtPMSZIEz9WbMMD4xCi/8zu/TZ7n\ndDo9hDS46ebbWFprceNNt3D06MvDAEifSsUlywS2REOjt1iQ0OtFTE/PEARlGo0RSqWKRphF+RZ6\nql7XarPzZ88yPjrK8vIyE2Pj/NhPvIuvPPRlorDLh3/jN8kLydnzyxw5cYr57TtYWlrhuhtupFIp\nEfb6el5iGmxshBw98gxnl1ap1pp0BwV/d1bPqMrlqs5GM2wKMvwhEixNYxCF9i8hh9l5Dt1Qb/Q6\nj62PH7iYhcRGkWQxju9TrwSMNUfwPI96cxSFFs3kQ3+cbRkokWMaBlleaI+i45DnuTbcuiWmp6cZ\nRCH1ep21tTWNPIoibMfBsmykAst22blzB/fffz9BuUSYCj17Wl3jumuuxXcdKpUKc3NznDl7bki5\n0Zfja/9UJnRmllSKc8tL3HjzQR555JuMTzQ5s7gJhk+a5qgi5anHH6Ebx9jKwSwS4k6HshkjifCq\nikw5PPrUUd0mzhXWEPhsGA5pLslFwfYdl3Dy5WeYnxzBKxXMzM2TRiHjjTHODDey//zhDzI6Okqt\nOqoTuj0L3/e3KlUhBIapafwFBUoUhNFAJ2YLgWM6dDodNjc3WW2tg2WyublJu92m1+7R7Udsbm5S\nLpf0c8mUTGrWYzhIiaMe4+PjOIbElDn1cp0kE2ysLuNZBkUaUqpWsU1JNxE89LVv8vO/9FvgBQyS\nmCzNWD5/htHmGGcXT26954UBynHpbLTZNTnDkUOH2XPF3qEHU6IMbTv4lV/+9/zZn3+UVGZ0oh7b\nt0+ydP48psxxTBvft/DchF27Jzl18ixZUeDaPsLMKZdtmo06QhS0OwN6YResGnEmGKs3yVXMB3/9\n9/jQL/4cRw4/z223v2EYSwQLOy+hyC5WXv/h3/0Cp06dYm5+GjFcc7+rPeT/497zP/TK85xqtYzn\nO0OQZ8rEqKYyR5HmJercpYgoVgz6MXGcaBCnihkZDThw4GqkFJTLZZ59+tusrnXYd9l+er2IPCtA\nGoBOMTVti1q9xMjIyPBGaqOUGmZlbdLt9Gk0RhHrA8LBd8hzh5fGNfW3Kqe1tQ1275knFTmtVoss\nFkxP1oj7PeI4pdsJybMOhdAzHf1cBbt2zmKi6PQ13mlkZIRyuYrj+nS7PZ3p0081LFSCIRWGUiAg\nKxLK5YBdO7ZTLgesra0gC4FrO1y6d9ewnZQgipQ0C6lWXarNACkdDMskywRryxt4rotpQq4SkArP\nhmazTLNZZRAN8Nwm3Y0evlNCyR6Vio5Fl6IgziImp6cYHRnj8c6TmiWoJNmgT6fX4+1vfyef/JvP\n4HsGIk8JLItXv+5OHnnkEZQyCJOQ1mbE0lKbd7zjbp59+qlhWGmZB+5/CMv39cAZRdQL8bwSX/7K\nwxw/eYrHn3gaVMHGxgbddmdoWjdJ+gmurSM0MhVjYuBaDl/98jdxzQCZKVbOrXLq2BmWlpaoVpq0\nW89jGAbNZpOa73Ppzp3MTU+wd+9etk1P8K53vm1IaZCIXFGv1th36V7WNzuMVAMsy+Spx59CStho\nd4miiJmZGTbDFMev0gtTwkwReC6madLr94e8Rk1mKPKULEl07IbnI5UgzyUUmtQeuIpazWVibJyx\nsStojtRRSlfeUaIDLh3LRmEPW4HaNJ8K7VXrdvsY6HmjYRhYysKwPKa3zdFqtRgZm6Lb77O+uUk/\nDNlo9zQv1NIBlNo4XuWqq67k+RdeYHX5PPsv20eS67w0w7A4sG+f3hizhNWVNa6/7gZOHD+J71+M\nq9/s9jT71ITm+CjPHHqOuR0LdPoaIrvW6ZNKQVAOiOI+FFD0U2zHpsgz8jziVbccpDdIyERIa2Od\nrDA5e3qRKAqxrBIyFyQ9Maw0XTKr4MiJU4yMzLC0usqb7riJ1uo6cZhoOsbwCjdXSLqrHGoPNFIr\niZmZnuTJJx9ns9NmetscgRtw5vw54jjmNa95DV+6/4tg6VTpO+98LQ8//DCO4+B6FZpjdW644QZO\nHj7NxMQMM2NN3Et2MDIywsKOeSzLotasUSqVMA17a342UquiDPC8ANN2WVlZIQgCGiNNpILRySli\nZfOu9/40mB6DdktXz5UqRtJmpDRCu3NRBSj6m7hWiUbZQ+URM3OzmJaF7vSAiUFeJNxw8FpueMWf\n8JE//F0mx0Z59vBhLpmr4/sB199wNdVqGcNWKKUIr7mUleUWSSy49oYrSYcYNyVNojDj2IkTKGxs\n18UxwBB19u+7mT/407/l4A0HSJOQZ576NnmWUatVtgRGABv9lJHxGbxSg1oQfNd7yPfERmYArdVV\nxsaauK6H79qsb6wSRynu8ESU5wLDMKlUSuS5olyu0pUhaRLRbNYQucbNLC8v47oBquiwuLiI65aQ\nQumbRelTruXolOg0STBMQbVaJQg8XMum2+kTRTFxukGaGtTqZXqdkAstPuDiDMs0QClcz6KgwJAF\nJd+iUbaYGK1om4Dh0loNUVjDaZeOgPA9izTu4TomI3Wf6uwo1doIy0trnD63PAzzUwy6IZ7n45ZL\nGnoqBYap9Nd6XWqVMkUu2DYzw/btczz88MOst5Z1K1ZEXHnlPhQC09LthIMHD/LIY0+giphEFRiF\nhW1ZWJbkwP4rOXb0Zf2zMciEQOUmBj6X7ztApXqOSqXGsWNHmJyc5vTiIt9++nl+7O3vQvJtFAX1\n5phmLXYzfLtMtdrUAhnTxFCwtrGO7fpMTM5QUBD2Yq6/YYyTp86B6ZGlMa+87TVkwuDUocPs27+f\nbzz8dS655DIefOhrPPy1b9KPYnqdLv1uj/5mh7DfJxcZFd/HNmyCoMzq6iomDMNWc2ZnZ2nWy1Sr\nVaYmxygFZUqlEuPjk9pgnwr6vd4wGfospmPSarU4dvQItgmnz5zB930OHLiOLz/0ADfffDOGiPn6\nPz3ER//sL1k5t0IvjnUsTF7QnJiltTEgKDusttZRQF4IfNvR+XUFmKZFGg4ISmVMWTA7NU6lUmFq\nWnsDJ8ZGieIQ22Yo2lHYroNpFqB0NWUonR4hkUhDh7gqZWjajG1jmLaOhSnkVkzLbbffzsMPP8zS\n8pr2k3UHhEmylaAdBFrYYZoQhjora+eOHZw8cYKw38fEwHMdlJQUaLRaP00ol8uYprbAfOELD+BY\nBnNzF1kI55eXaXc7xHHI9dddzYkTJ3jjW76fe/7hc0xMTJAkGaKQ2K5LoSxc1wHbwPcdpJNi43D4\nyAmOHQMs7QVTmIyPT1KrFthuQBjqVIEi19iptMgpFIgoouyZHDn0AtPjY+yYHmdqtMmhI/q13Xbr\nLZpz6Ff0+2ooDCTv/+mfIMkyCgXNegMpNWZsbXWVt919N5vtdaI45syZc3ivfTXtbpcsztl/1eV0\nOh3iKOSrD30TPBAC7rrrNv758YeJ45g813CCNIr5vlfdzq5du/iLv/xzaiOamN/p9njNa9/AW9/6\nVp55/nmiLOd1b3wL7/6J92FZDjXX4Zr915AkCUdffomJRkARdnC+Yy7Z8ExkkjA/NcVP/PgPUG3W\nUUgM3QwEJI7l6rXJgJ/9uZ8HkfOmJKQ3GFyU4AMmYggtdhACLNNFqhQlMwwFhunq4GDzdRQ4WhGd\nC6TKdCci8CnVahRJwt1vfQdnTp2gUFoX8O9+W7/eS/dfC1Lguc6/sEf816/viY2skAWNuo8UEmkl\nQ1BlCoatKctpRpakFNLAMNRWhk5BQRJK5rd7JFHI6tom58+32Da7jR17diFzRRiGOiPKMjEth0Qk\nuJZDkVskaYHjSmy3gV8qo1AkUUKlUuP8yjrVchXLNrFsFzCRRYpSDIUYJsPyipFmk/5Gl5JvULZN\nGpUyZp6RigJVODQadXyvrEMlVYBp5bziuiu59eAreOiB+6k26himS70+ygvPvTxshw2wDX27zc5O\nccWB67jnc58HQ4IUCFHguSYbGxskWU6zXuMDP/sB7r33QVxHM/I8XxNJdu6coFqtsrK2wcToNgab\nCaVSFavsYJjguvo2aPcTao0posxB9E16kUfZsEgyRa8H28bnKbIBe3deyumzZ/DcKtsXGnz5iw9j\nKU0KOXrkNGnSJckyfvVDv4IybPygQpJJknBAvV7XGVonTmDbLkjFRmt9S9JbKldxLZcH7v1Hdu/Z\nwerZRaJOG0tKzi6e48EH/4kr91/BkRdf4JrrDnDwhuuZHJ8YmjETPLesY0w8G8syKQcl+uGALI84\nf/48nc02vW5Ia22TQmTkybeGafjKIwAAIABJREFUNH8d8eN7Nvv37+P0mUU+9tGPc+frb+c973sP\nf/6Od/Pe9/40e3ft5uzpRUbuegPXXXcdpmmysdliYddOXjp2ml64TK4Mnnv+ee0nNBXKzLFtB2yH\nVIBlSOrlEre98pVsn5smCvsMen0dERLomaFtW0hVIHNBqVKhPJzLLq2tEcZ6Adf35NaniCwTOmdL\najm/lFKLPnIdBvn9b34Lhw4d4muPfhNhKkSeYiubQuYak2SZmJal8+8yge2Y+tBX2Bw9+jKveMX1\nRNGAbqeN47pUKlUMBaaniRhZomnyynUJggAhMo4eO7L1Od/odTAtE9/zsJ2AXhTxqc/+Habt0g0l\nq61N8tyiMSpJlcQvVRkfa2JJQMVsG2uwsXae3qCrs9DimFKpwqC7guu6LK6e1LR4y0GIjI7IkZaB\n5weYrotSGXkVEDlONWBubnTrtWVD03sch1rtLIXuXAzjiJRSDHoaBCzSDNtzsSsu20rTGIbBnr27\n8IcdhDTNt9Ij3vn2HycIArC0GKLklWi1dBVlugG9TpfN9TUmp6d58sknuf1Vr+T88oqe/wU+/8vP\n/Vve/YH3Uw4qdAchv/OHH8F2Nb2/3YnpdNbwTJfF08eZn92ucX75xZZc1c6JZJ/3vvv93Pba28GU\nQ+G9hRpWZQYXHjMBF2wXp+IzUhkZPnrh+dRQmm/hKolxQeOPALTNBaWfKY5T3TLPc0xcTEsffMgl\nlhtAljC/aw9pmvKVr3wFuAWARx57nGjQp1qtYlgXu2D/ret7YiNzbJtKtUS/p+PZFxYWWFlZIcsF\nnV5It99jfGySJMkZH63SG/RJ4gEgqda0oivNBefPtwgCTQeYmd5GuVxFZAXNkVF838OwLXo9fSIU\nZkYmFJVGGcuGKO7jWiV2797LqcXTYOWcX1ti7+7LOLO4Sp4X9Drfyf6SWyeVtdV1fvNDv8hHP/J/\nsXPbNOPjk4BkcXWdk2dX6XZj8pKWnW60u2ybqHPu7HGu+dl345g5z337MP/0tUcZm5yg04nANnEc\nlyLLKQU+vd4AJQUoSeA5pFmO7cDExCTdXg9TQZbo2I16JWBudjtjY+O01peYmpolDjOieIDrVNjc\n6DM3uwuVCyzbodXu0O4OCKOEpY0l4ijFMFaQDKGpeUp/0OXrj73E3OQoMo+ZGK8iDcnI6ATHT57g\nsksv5/jxkySZYGRkhNtvexNRrNN6Xzj0MsqwSPOclfMt6nUd4NhsNqlUKkOAKnS7febn52k2mziO\nw6nF0zz19LfYd+klrK6ustGJmBwb5z/+n7+BzAXvfPuPgaXl2VJkbLQ2aW8OyJKE4ydeQg4DAD3H\nxXEkhqGjPkZGRpiZnmLvrt186lOfYn5ujunpaXbu3MmDDz6IgcfOnTupNerYDlx55X48z+Puu+/m\n4MGDFLng7h/8ITY22hw6dC9JkvA3Jz9Jp59wZmlVS9xtnfwsDRMLcB0fVIFRCH2vlwLyLOYb3/wq\nNgKjEHi+TiOo1DSTu1qtDz1IitW1lpa+Ozamq1l8kQTXcjCwtME3y3SgpW0P2Yv6CnxtwRiEfc6d\nO0cWJ2SyYHR0jHK5PMQwmRR5MUwMzrQn0HLwAwfHtLCMAlUonnjsEWqVKm999zv4zGf+lqTXx/cD\n3ZkwTTxHz5KKPCWN9Wn+O9cix5DEccIg1DaZgze9itpok7yQJGHC9PwCvW5OEhfU5+u0220OP/Mt\nAssEK+NQr42lJMoEJaHItUIR02Bm2zQf/tVf5lOf+gyPP/bIkLquW7O2r6vvsUaN6cYc3/jKV7ju\nqstZGL9YLYockvSCxcPGGkKCxRCooIkzOsVAFgV5XAwrk2yLRtMZ2lnApBhaVITISJIIUegg2tDo\nE4V6szTo4bkuu+fnsT2b22+5kdfcdguVoEQuCzB9Ou0eO7YvsHR2iVqpQpbmTE/OALBz95UszO9g\n9+7dXLJ3N9u2bdOtXMPgQjHz4P33oKTENAyEyjEv+MdQW3oy/a9ht2n41S2bkYKL20Qx9P2BEgUC\ngWNY+jFDgVBgKNaWl/njP/kIR44c4ZN//TcoaZCrYfuxEFvdhTiOyQvB3t2XbP0dLjBee70eefHd\nz8j+u3xk/7OucslTb33rK3ny8ecQeZ/JiW1khSTNCuJIUzUKJSk5JQZRxsrKCq7vYJoKz9csNFk4\niBx+8Rd+gV/9lV8nFzrF9EJKbqPRIM9TojSiVqtS9k0MU+LY0KzVWV1dwULwkT/4CD/zrz/Aalsw\nNVUnKxSqcFldWd86yVyQmiqlS3OAt7/th/j6l+7h6ssvo1yqkUlFqzNgaW2DcyvrVCoVxsfHKfKE\nbTNjLMzO8PrXvobPfvozXHrZlXT7If0oo9OLKFV0bziOBvT7fSpBwNrqBudXlilkTjEkRphIDMvS\nRmgDAt/BMDT4VAiB49nU6hUMU88lMCQGFnNz29nobDC1bSdhLDmzskEqJKbtUi6X6fdD6hUdI4JS\ntNsblF2fkmMwOzvOgcvnOH78CHkuqNZrKGlRb2ozp+O41CtVXM9idHSc0dFRLMelVqvRrOhFOkkS\nbNvV/fawT5IktNtdOp0O0SDk9LlzWqiQ6ZOw7wfkeYZpKP17lku0211sx9Px7sDE+CjXXHU1995/\nD1/80ldYaXUwgIW5bfzB732YT3/yb1hYWMB1fa68cj/1ep0HHvgSzz77LO9///up16s8+ujjXHLJ\nZQRBwPLKKt969mmdyWXZxHFKkmQ4tkeSpZqCnupNuNcdILAoJKR5Ppyn6ddqmVDkGWMjIxRJQpZG\nOLaJaenWV933CHwbz3dpNEeYmprh3LlzrG92MLBx/QDbr2M6NhJDx5JIg0GcbUFtwzDUBH20Add1\n9XurlKJaqxFHEZ5tsX37HKurqyQiwTIdvMAn8HTGmmOYw1bdxda5koJ6vYbna2C2zvHL8B1XE2Mc\nh0ajSaE0DWJpZRlMg0qpPEyZAJHl/PT/9r8C8Ed/8Edsdgf0wgEPPPQQp0+cxHBcpqe3cfL4KYJS\nmXK5zBU7djOKybHDL1IUgnf8qx/l9/7kDxEqJ7ccCs8nSW1SkeP7LpatF9Zqo06e52ysLaGXaF1p\n1MsNxupNxusNsAX9VouSYVAfr/Ll57Vh+/yhx8nzFMuxiOIBUhQUwyTsCy2urBAYsqAQWuCi1Z26\nJC6Ki7YZiRp6r4wtL5ZSuuIXQiCG4oYLX/M8D8uyyESO52l1aCEUjdEZLt9/LUa5hCHh7OJZ5nbt\nGo40JIh8+PMMLNvSTFDTHmasacGUkkMhhXFhtPGd1dfwGqaaU0jNiDIAUeh/K6X9ASiIBoClH7NM\nZBwzyHMNNDB0YkYYayh5u93ZElzZtk0UheRZQpYleI7FpfuvYm1llW9/+3larVX+jw/9BgAf+t9/\nmjiMKJVKOI7Dv/utP/of7yP7n3UJUXDn6+7ikYe/RaVWpVqpoDA5t7RMmkQ4nkscx1RHAqJBB1Mp\nquUSzZEGUgr6/RCR5/heiag/oNVqY5gmluXowbcSQ46g4N/83Ae44/V3ENiCOBlw000HcUw9hBdx\nTtSL+ObXnyJX8OY3/yBxr0Ot2iCsplgG2LbOK6pWqwwGA6QUTE5O0hgZ4/qbb2OsMUoUJlgUjNkl\nMqGYmpphY2OTcHOTJA3ZXDnH0489w+f//guYCr7y8BOUKx5RklOpaSSN7/uILGFmapJzp45gGi61\nsosT1LBtW59+i5jdO3dhGSaLp05w1VVXUK0EBEGZl48eYefuPbRaLc4tLWsYrwFJkhJHA8YnxzAs\nPXsp+wEHrzlA2XP42te/iYj7rA022T47T28Q8YNvfgOzM9uYHGsyMd4kcAtefcdd1Cu1IT1fUKBP\nWEmcaQiqUGx2N3n5yCnyPGdpaQlEvhXNcWGhA7YWimJ4ui0EuBWPwkxRStssLFMxPzPJ+MQon/27\nz9Ecm8S0ApRQJHGf/ZdewuhIjV0LC3TbHcqeQ5blHLzxBmq1Gjt27eahLz3I7Ow8b3jTG4mjlBtv\nuoUdO/fw+BPfotVq0e12eeLJZ6nUGliODirs9ns4todSEKUJcRbiWMaWL+vCAkYhkHkOaYLoD7j8\n8j00GjVMQ7Fn505MQzE+2qRerTA60mSz0yYolagEPuWSnju0uyG2o1WqaZajpMV6u0MuDdJc4Nge\nQRAQRxEiLwhK/lAxp+eptqUXJMuyLlZmhg5ydD2bXTsWOHnyJIUUnF1eplZtYCgdbGhZxpDyIpHo\nVqRtWpiWGhrPNe2mQA6FFOYwaZkt0+zctssxTJP+0KwPBo51UezhO/DlB/+R06dPYzkBLhmNWo3u\n+gpVz8SxTbaZBrdt38ahB77ApYMQt4DnP/Yx3nHpPjpScl4UPHryFN18uOlKh317LmXp/FmiOEIp\nxe23v4bDL72g56SOh2m7pFFE7ji4heTSqQVsJGMzo3z5ef3aXj5yjELmVOoVXUmCFm64AY7vbSkX\nKSSeaxNFEULmqOHs0RjeCwDKkFseKFEUwwBPEEI/bltaEdntD1CGSaFAKROpLJoT29hzxTUgC2Ra\nYJo+hSh49omnuerqq0Ep8izDcV0OPfccV1x1BaahNzbDsJD/ojD5249/gh9597u2MvX0C1Rg6IO4\nYRg888hjPHTfP5L1uvzID/4Ax15+mUv2XYLr2Wy//HKefOQRbrjtVTz/7LPce/8D/OIHfwlZFPz9\nfZ9nenwbp04vIiWcX1piem5am8JtXys6lWRidIxKtYRlmWzfsRPP8+gN+jz9xJOMN0a47Lrrt17v\njddeS5Ro0Ho+jM76bq7viY3MsiwGgwjTtFGFbtXt3ruLjdYG5YkAy3HoRgNMQ7Lvsr2cO79CpVbD\nsk1GG9M8u/YirbUeY01Ba20FE2g2mltnj5279lKv18jzlG98/RG6nR71epNGo8Yjj7yMY5aGg26L\nL3z+Hn7gh95CKGJmt+9ku+Ny+tQ5qpU6WRoyGPTodfqIQos2QHL61AkOPfuo/mBnwxZWs4rlKiYn\npxl0+kS9NjsXFvBKFtceuJr77ruPV7/6tczMzPDNx75JrzvgygPXsN7aRKQ5hRTUKlXCbgdDphw8\neJCkyFldW6PT6bEwvx0vAM/xGW00mZsZJQ77mEC3vUHg+YS9PpVKjUv3NHA9m0qlRKlUoVEfoTbe\nAHxq1XGCcl1HzBjwr+7+YQaRZj8Oen1WVlu4ns3J46dYXuxx+thhen1dRdmmpwkkKtFtGCkoB0Nh\ngeHi+z5prrO5DMPWVgghMC2HXOhFVw7bHfv372NyYoy//uu/5sd+9J0sr6xw9OgxMqFpH44luOzS\nmylXAhYWtmMHVc6e1a3QIo3ZtXsey5ZcfeXVKKUPAldccQV33XUXju3x2te8DpRJmmb86Uc/xsrK\nimZbpim1WoNCSaKsIEsLwvVNlKnVfabj0hsMwaWmnktFYYxt22RpjKkknV4LCbz21bdz2y03Mz8z\nAyLGNECIDNfWAoosjalVNI5n++wopm0jspxcJLiOTymoEGVaAJBlAjmc2ymldNaU7aKkxButgann\nxaahFyjbdre4l7pboIatHIAMV0kaVZ+5mXE2N9ZYmBpHYSKLAin0goxhoIoCx3aRSEwklgTDVBim\nhWs5hGmIaUoKKSnSBNfSgpIiVxS5FphcdtkOsiznzKkzrKysbH3O/+Hev+fF557VGWNWyPzMFOdW\nW3h+hcKwNbR3fJQfftfbeOFL9xAYkpKCW644wPNHjtCLE9Ych4FQBKUAlIHrOHzyrz5Be2OTnAzP\nC0gzwcc+/ld89rOfRSqHPCvo5iGDXgdTFpw6t4htQvnsRTTS0tKSFkid14Bgx7LIi4JS2R9uaC6O\nqccYjmVi2prlamHgGBZ+EODa+usCQZqmujIvCjxP6Op8aK1hmJ9Wr49qnyeWnuNmCXsuPQBmCSyJ\nkYcgBJbr0l7fwCmXUVJzNMkEp48f54p9+zBcA6Sumozv3LCA17zqNkR/gFkNMAqQMgVMTMcGFAqL\na245yG9/8JcYVfDxX/swZpzyaJ4yNjaCXw04s77Bx37p1yhVxzi8uIjzC79MZkr2XXo5jz/xLYJy\nFVlIUil46chLIBUWOpZqaWWZm298JXFUxbZNxptj7LtsP8dfeIHP/9WnWD9zFkO7PwEouy6Neg3D\nQtNXvsvre2IjK6TkyMunGRlpMDE2iSgyAr/BlQduwnVthBTYtkMSZ7rVVhmh1+nT7fY53jqDYzqM\n1CtEUcYf//HHkZhsbLbxgwCFyXPHjnPrrbeyffZyBv2Mbzz5DAY5SaTDBqv1GrMzc4yUy3SikD/7\n+MdRro3v+/Q7PWzTYWFhF63VcxiWyVitxmZrhT2756hWSuzdu5tjx05wxeW78VybwSDisUef4kd/\n7G5Wltc4vXiOzqDOvn2X8o2vPYzILmFmahJkTp5G7Lv0ctZaGyRhRKNWIRluJIaCqZkZprdtw3B8\nGrUG89t3MTExgW3Y1CseluMxMjaKY+mqNRe6HWfbNmmswZ/tfnsr4TnJBMvrPU6ebZFmOYMogwKi\nSLe89OlRDdVrAZgWeZ6SZwkiTSmVSjAEHGNnOI5FrgICS1cHudA07j27Ztm1fQf3/uN9HF88y9TU\nzFY7amltg2q1ipSSasVjtFnnmgNXkcUxvuMQx32isEuWDlhdW6ZSKdOsBzSaZbIs43WvvZ2P/MnH\nWd5oc8tNB9m/7xKqjSpxHLKyvsGdd91JHKU6zuK++7FsRRynoDSI2Qt88sImzQsMy+Vca1PL15XS\nBnVM3cJVBZaAJMsRIiNPYoTMScMBIo14y5vu4s1veAOTE2MMwg62qfAcF8sscEztmXJsHwv9eGoa\n2EqrKC3D1BVcIbHtErGQCJEO0WT6tFwUhV5qTFPb5GWmNx5D4Bh6ITIwQBmksa4QDMNAFgWFlChD\nt8AtwyTNBc888y1c16VZK2t7RiExXAchjCFsQA3FIrplpqSBAJAGlqVP+uXA16kFQ/xbriQiz/FM\nmzROiVTM4cOHtVXEMNi+/SI/vFku8bPvfZf+u9ca9MMBn7//n4gJMAKD2ekZNtbXeN3b34OV2wTl\nJjYGDx59nhSTouqTYGL7I0hRYBQSpQSlkk+/a6JMD8t1iKMB+6++Auuez5NnCmm7GJYmBxVpphFt\nhcDrXZx563gmRTC0LuRKoJDEg5hQhluHGJBbhwVtezCwbWurYrNMc8t3d8EPqjPGdMvXSgSB7xME\nLiOjoxpmnaaMFLB0foU0EXieNdRVGECBYcHs9lkoMgxVIIsCA4M3vukulBAgxNAPNlRTGwagxxON\nsVEwFaY2AWIYOsFcCaHvHUPPVj/4oV/it3/m3zIfS+b7GVNZhjq5QieA3LYYwyFd6nFzbZTe+fOo\nqSa79+7iwPUH9ftimjz3rScYG22S5zkmCs/26PUGVGp1phd2IA0D01KsnznF6Og4/ZUlZv0AU8ET\nw7+DQBGFXUwUhfr/WUVmmhaf+MTfkmcJh144SSEVF+gkjmWBoct3z69gGNqca5i6/27bDo6rVYWW\n42BZDhVL+xLqjRE6gwHfd+ebiLOU44vnqDfGUX4ZWUR4VZu3ve1H+ehHP0qeCiauv5a8ENieSz+O\nmJ6expAm62stFk+d4IYb9uP5JmunFrn5hlcx2rTZuTCvZxTMMTlSIyh5qLERZJayePwkYZThOg6X\n7NpL2I247tpXEPg1Xn/nmymXqpTLZcZmpjWDzdJSaW/IW8xzrSTr9/sUEsIkJoqirTZPp98nLxKO\nHj9PHMesr2/QHehqKc9zbPSHybCtrYG1lBLHG5IiCoXv+2RJTK0UUMgMJDQaTeJogG1JlCEpDEGv\np712YRISRSnr6+ts27aNSrlGYZjYaEqEtApEGPEDb7qLwHG55uoDLJ5fZnx8Eq+k5y3j0zOsrKyw\nfO4MmxsZrr2DSqVMv8i49ZU38rnPf5bZ2XmSNKTT2WBtbZlrDlxOqVTC931sp8T+Ky7jR/ZfxdGj\nR3ns0Uf52le/Olz4bRQmYaxjepZWVqhWK2gWkCLOJZGIcGwPadqgQEgxNF9q+kKh0iFLUpHnPdI0\nxjQKVJFx68EbePOb7mLvru2EPe2LUlGbuudsqT9NwwDDwXUKHAtAYpgFvq2hyqJQ6LhLg1zpLoSU\nBkJocYdhmEhZDD1hJoYBpoJCSaQU5KJAqgLP85BKb2ambWErvciKYjh8BwpTbVlDLEMfQHq9HpmQ\nWPZQSaYutCT10F9KbXUxYKuyK4oCDIWQxpYE2zRNbBQizylEQRKnWK5OWndMfc91uxc9Tbt3Lmge\nYqHotNfICos77riT+770jf9C3ZtHa3qWZb6/53ne6Rv2vHdV7ZorFRIyEBIIIQMQhpAIovbBoYFG\nRBAHWmy7Fx7nAbXFXqvPaVdzpFuPbevpPopHFEUBQRmTEBIghIQMNSRVqUpV7apde/6Gd3iG88f9\nfN+u2K0d1+peC9+1snb29NW33+Eervu6r4t2a4LHHjtOkiq8BZN12TKBK648zNLxpyiHFcErfDA0\nIZCoAAaUMrztHe9kOByS5hllU+PiLp33gaA8C7v3YBTYumJjeQVPw+L8PBeWzkEzikGikOOaikRr\nUdpBoZXCJKIlKOdCkaZ6TCbyQH9Y43xDK8movSco6YxHELoxKSF2SUYpkkTH9YZttaCgUq574Q3s\nXtzLH/7xR7jzrtegA/jaYutNdszP4oZCJgkhYL3HuSa+9+RZXdili8S2suSdDigDaJQW7VYVFARH\n8AG859qXvZS3vvc9fPQXf53LdizyousOsfLpB9jcWGNjMeNE2uAqTRWGvOPtb+fD996DGwzAVzhl\nMBg6nQ6+rpjqdrnnnnu44YXX0+202OwPmGsqsnYLmhqjFJ/4qz/HZYo+gdnp+bF3SlU3mEzjmhr/\nt7Uv/57jmyKRNbVlqD0T3RbtliHNE9Ikod+rcK6hyMRMUGc5aZoy0ZlkdVVcos+fPcfE1CRpluOV\nqLJ3ihYHDh3m9JmzvOimm1he26Bf9snbHY4cOwYaXNPQDEXpemFhjpmJKY4de4ID+/axsnaRfi0D\n5J0L8/IArF3kmVOn+M43fitbO3ewubFMtzPDM6dWmJ3ZwQ0veT5TU1NCG0Xzum/7Z2glBogBTVAS\nJJOsoKoqyrKiPyjJ85zl8xdYXVvGegkaS2fPjWdPm5ublFVFbziIC7nyAKVJQqYl2GVZMVbsv7B2\ngcnOJNqkZEUBCKU6SS692T1BK3RwTE+16e6aZ2NzjVY+hU5Srrv2Goo8ZWZyktWNDX7yp36O8xcu\n0pmcpLHCvDt37pwE8QUF2jA3M0veyth7YC87Z6aYmpxAB5ienmSwtcWRx59gfWOLEAIvvfklNMMB\n+3cvUtebLC2dxVpZjnz1q1/NX33qk1x33bVcffW19Ptb0Xizx1/85Sc4c+Ycm70B1nq++pWHyFsF\nMzNz1FYzHFbkeYILga1hDXg0SswQlSHLW9ReobSRbgSFbUTdo2lqCSje0zRDAg5XN5TlgFfe/jLu\nvOOV7Nu9C+ohRiuGG+uEpqK2inaWUldDrDVjBQ6dltBU0tUpCTyldVgfaLyS2YgPkIg/1qjIUFE2\nakTCCmGk/wOKQCrmU5F4YUnSFOc8SgWZj8QAWte1zIljgDYoUF5gznabW192Ow98/vMkSrGxsSFk\nbBdIEoNz0skpZH7p41xMjiACsUZjtCEEj8lzvJYdo9pZCBprZT/oUnho2C/RxsQiSmjtX7z/s1x+\n+CCPPnGC3uZFjFZi/eIVdVXyja89wub6OnmrizYpJIHEJDjrqMuKLNF8/t4v0mm1aJwTiLtpwGhh\nVDaO0yeeGiffTruFDynnli+SpsX4vc3NiaxTHq9HGQuhpmmiAtAWxki3Vg/rcXEdlBEHhuGQPMkl\nGQYwRs67MgYXAsFLsqydp7Y23pPSRaENymT89M//IouLe/kXP/oeHn/yCMPeEGyDD4FWXlDXsoA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tDrk+c5/aqkjpbYJpWHHG/J8/SSWYOozQMQDAojckFKkktiokmcvgS/RqGMFvaVDoTg0GmC\nVgmJrQgKbPBoW5LHKlB5gTiUj1APjDXXlA8kxqBVFqExWWAMIRCQRevKNgwGPYosVpteBGTyvMDH\nwKHTBOU8e/csEnxDmhi67Q5zcwtsbj7ExNQMJ0+e5Pz5ZXbu3MnJkycp0oyJiQmKoiB4T7vVEouV\npiHUPXbMtpidSFmY2sfCwgIvesFV5AlUpcyN0jTjTd/zPXz0Lz/O6VMnWLtwlqWlJZaXl5mcnmMw\nrOh0OqJaQEJZWvqryxhjGAwGmCxD15Y8D7gISbnaQR3GgqLOiQWEbUSpYmp2jsYHtElwXrpbFzzD\n2qETjXUKlUj1mWix/3HOReUTJ+68tdCrp7oJ33LHy3nNK24j05CngSxL0RqUq7FeEYKi087ReLxr\nsEGKj0CQ7iIGekuFsim+9rS9o51Amg5pao21GqvbTC5MkKiMxgWsd0Ks0RqjRpCni/elzDKbSOAZ\nFVGwndRqLxR9YwxBa5yJtvQj0sQlDDWtxL03yTNC0+CVF8JHiMkModkrk5AYEyWULN6b8b83CoIj\nNQqFJ0kTWqqIrgexKEsSHB4XXCQ9RDUQrURdAqitpXHb3UF/OGBx916aqo4O6ZrpqVmefPJJ2nmB\nbTwD1eB6DfMzs1z3wut4652388H/8DscOfZknPMSE7iJ/5/EAAnKSAEqGoCjWXMYF4hpmuOamoCV\nOfclSVZrjVYx8RoDTQy8ShQ9vPcE6yTWG4NSmqZxJGkmjgWRhAEIs9I2gGJ9fYPl5YvkRmGylFar\nJdJsThjJk5NdrPW8+CUv5eDB/fzxh/+IuYUFJirL6voqzjmGtZDesixDJwKVK6XIIztbxa5IZmTP\nXohWynD8+HFuvukmEqPYu3c3VLUU2SEuu1uBEUczPZNlmKaOHjAB5aSbwnm5Z+K9GuJ9ZbQmeFGq\napy9JIn5ZyEGIyWUkTNDZRshv1SX0OxVwtHjJ6kGw+eUO0bHN0UiW11b5/f+4MPi2OohIN4/I0kX\nUb8XSAkfL5i1InSaQJFLVxVcTSuNyUc5tCF2NJHJVVaIEHugSGOLrKSiITj0JSyZQKCdp6AchIaF\nHbPs2LGD4OHUU09z3/1fZrW3SVmW3HLTLQQt+LGPhU0ISpY8dYqWAQNNYwlB5kZaCfVWKUNRpGKg\npxSd7iQ6NExOTrJnzx527dzNzIwY7K1trHPy5FOcOXmcKy4/RKI1JhW8/PbbbuGjn/hrTj31JEWW\ncfjAXg5edoCZqRbra2u0spyyHFK0UnYdPsiB3XvZuzjPwvwkk1MTvOZlN9Bqtdnc3OTUyRNs9Xsc\nOX6Mc2eXWVlZpd3qUrS6nFtaZmnpwpiEMbiwDsZwfmUjUr/jIu6YOqvJTcA3DTbCp42VB2w4HAqz\nzVagE/plHx8gy3LKqmZYNjTxeqOgbqw8yA5c0DRlTT0Y4uuKEDztdptMw86FWe545cu57pqryI2m\nqdeZmpwgTxVGBZIkjYFa3qMNAesafNxbSZQWpimAEesfpYKsZriCPAzoJH2SwoHJ8LSpmpyQFnil\nKPsl1tWglGhmOoERtQoxcUBdlVHFxI+hRRUDqVIK12wXQGMUwItLcZ7n4iagFCE+F865sQDACBIz\nSgkkF39/ZJbhYoAZSQiNEphQwvV47mcJdPJCTC69p6MmGZYlTXz9LE8xTsvrBS9kAeupbUnjLGmE\nHUfHyvImWp9idnYekxnssGRycpper0ddV0xPdtGr65iFef5m5QLh7s8QPv8ZTl1YJm91Ikwei9NL\nxgkjYoyQTkJ8/wnOBlnmViHCpYGmqnG+JrRyWvk2dCWOGCYiIQqnAgFPlmai9B+E1en8tmxVYiy2\niTNIAsS45Gwdu6SAxpCngtZY71ldXWfp/LJ47+Wi1JKmGZdfcRVZVvDM2SX27j/IjgPzPHXiOPv3\nHGTX4iJpIcW2TkQuLUuka7R1tf1+kmSMZI2Offv2MTc3x0233MwXPvNpNIoPfOAD/Og//2FJ2sIh\niV0/QiRpHIlWYvQbwDc1OE8d75tRggKNw8bzH5GG8Gy5LmdFRcR7YVyHIM9R3ZSRvdk8CwoNSrOx\n2SfPkqj3+NyOb4pEBoo8LXAedKJk7yJIS6vwOCuy/jgwiVDJSZJ4UiuMCujg0UZmUYmS2YZGozS4\n4GiaklQzVkrQIZBmgteXZcmwKhn2S9bX11lbW6OqKgaDAVOdgk475Zd/5Rco0ozV1U1aeZc//YuP\nMzE/R9qawOuEoLI44wAQeMKquOcRINWiEmFMIAk6VuaabrfLgQOHmJubE2O9NGVz/SLPPPMMDz74\nIOvrn4uwIwRluPKqK1AqsHP3TpIEEe1EMzOj6W2tc+/dn+euu+6ishWrKxeZmZ7i1bffyq5dO+i0\nW9i6wvmG3GiUa6gHQ1Yv1hw98iQPPvoQqyvrFN0JLNA4T6gaWsUEJskptwY4ZdkaNFTVkN6wZmZm\njqYn+moYjXcWpTU27iZlZuRWDFUjS8nKaJyzctN7hwsKnMO6IAaOPlDbBhshE+kcQgxOns2+eLXV\noQHrsFXFwvwMt912C7feeCO75mcpUkWmnKSjzgwmCYLRa4NyNSF2w2iFDgqdKIIHoxJUVIDPUoHX\nnBO4JNGGTtowkQ4w/iJ9N83WsEM5DITU4vUQcUUI+OCiQn0jc5Aso6pl3jHS2/Pej+c5o6pV5EBc\npLYHuq1OZK4FGt/I/pZSVJXIdwmSoESNwwNKUTb1s4o+ecJG8ytBEuqqGgeQqqrHLNeRU3qe57z0\nrruoli/w9a9+DaUMRgulvVWIDb2gH4GsyPAhUMXXy4uCLHZ44RKZoccfP8Ld936Juoarr72Kd37v\nWzFpwrd953fyS+/7FdrtNhu2ZE8+jbOaKgRqPO9617v40P/3YXq99bG+JEGNz9kYmo0L4HKIrqiK\nnYp0vg07FxY4cfoput02q+tr4/c2Pz9P09TCQixrmkaIXVU1lPECsutnjCaL0J5JDO12W6DFWly1\nXZLQ1po6MvOstdE1WvQI86IlmpKTMRk4z9bWFqeefob52QXe/+/+T3q9Hu//17/GFZcdIs/afPVr\np5manRqPTjY2ogD0oI8KotlZFAXXXnstM3PbLuAAhw4d4qqrruLrX/86Tz31FIcPXcb999/Pe378\nPYThIBZPXnRMRwWTMaCEJR2sw3kp9q0VtMMhRYNzNQSP9wEf9YQ9l7JcR5q0Ec2oG/k9zzj+GWVI\nsu005IGTJ09GQeZ/ZAvRCjDB0y7S2KJHiifbVHIIaKNQvgFfk5gMFxxKG5xryDONMeI2naQ5k60O\nRSuPenOa2257OZ/59Bf4wr33smfPHvI8o2o8n/r4xymKggsrF1nctSd2Gh2yVs7OXfvYvXOScniR\nIgWsJUsMO2anOLhvN2v9IV4nVM5jq56QUJQkgOmpWcphH48sHS9Mz3Jg/37md8yhVGA4aOj3Nrm4\nssSX7/siZT0UA01jmJ2cYqLdodtts3DwoMw7lOcb3/gGSyeOsri4E6Nz8kxDaNA+MDc/yR/8P/+Z\nn/yZXyLPDG9+yxtptzLBrL1GBcvFc6dwzrJ8cYX77vsyy8vLY0gw0SlBp1x93S3UwfOVr3yZNE0x\naLI0UNmS4XBIkudRvzIl1bHbUCkqFdFQ6zVGpeiYKHRS4NE0zjIWWY4QRW1rQtC4mPS8yRCOuUc5\nRfAGayuqaojkOtGta2cpyiomcsNtt9/Mt7zmdnbNz1CVQ4rEkOeglVgBaRXGs5kQHCakNFpD7HhG\nsJ90ZwkkHryofgdfyFC6Lkn9gOmiRzt3NEGxUc6wUU8wcEOs85hgMEqcv/OshcRaKcIgCvE6cI3F\nWSswFUD8mTFTMcLkysjMbzi0pOjIBhRKvTAYhYVorSU3srsWlASQVpphnZN9L4ck1RDQSiAv6ypZ\nMzAap7TAt87SNI4Q6vHrfvKP/piXv/oObnrVa3j0q1/B1RWpymmsqGOkaUqpK+notCJJ0jHMFwIE\np/F62zRxfXWNWoRkOHrsGD/xUz/LD7zrbaANq+t9dNZja7PiVHWe00tL6CRh9949fPyvPgWAdbV0\nuvC3ALR4jL8YRW6JQdZDkUuccDpl1+Ii586dEQQoHne++pUMqpKjR4+ytraBtdME66IAgST+smqi\nj1hD3hblDOXlOuR5jqsl0Os0wTRxtaYxQM6wjurvMQEnzhFy+feLouDJY0fYs7jAr/7SL/Le9/4r\nHn7oK6ytLPOqu+5iZn6Wc+fOcP7cOda31tlc26SqKoqiYHpyip07dzIzNc309DRFq8VgsK1YsrBj\nhte97k4++IH/g517d/K1Rx7kwoULYC0qUeAMBFkp0SoyT710ss6JG8KF5Qsoo8dCC957gSO9p6rr\nqGMrKFTduG2CjBvNxQJlWY67OXxgcyjCwNYFJiYmxu+3m3dpdMaw3IJ/bAvRWkGeBLSrUCGQ6IRR\nVxkCZJlUIqk26MSwuHMH3sP09DTTkxNMTE3iguefvfUHBBlXcM1Vh9m7f0+EFAx/+RefImu1GJY1\nX7j7XtY2ttjc7DEzN4ulYXNryObWcbyXCypVnsPg+a+//++EDII005qAibDRWm/I4u69TE90Wdgx\nx+KOnbRaHS5cvMjK+QucPnOK06dP89QTj3Hf3TJcvXDhAq9/3Ru4+qoraRnNG1//GgYj2wsjFHOl\nVKSlyhwizRTXPX8/V1x5OQaFG6wzUB18vGHWzp/j/MoGb3jDG/jGow/zG7/x72kquaGN1szMTOO9\np9VqU1YVVeUw2QRVY3BO44yhHtYcPfYUOxZ3yTB2WJImCdY6VGLY6pe0JgRCaLfbsoowrMhbHZy1\nKJOSGkjzQui4bkS4aGi1uzSVzFOsdwyrPk4ZlEojBKRpfMA1JTiLwlMOeqTGYDRMdCRwvOCmF3Pr\nTS/hmiuvwFbrdDttQlPTThtcCPg0wbkKHxytVEwsd+2al0G8V+A8Noz2dzxGRxKHbqFNFPyWtTCS\nFBJbUphlpro90jBg3e2kX0/RdwmN9hjfJhiZjSZJzkS3jVKGra0tEXhtGvG1qiqsdVjrZJ4TEQXn\nLNroOLPTcYgexp2FtTbuD4rUkTKyM6Uiu3Z7sC9z4EtJGzgnbUoQiDHgUUZYnEk6WpQWkogkMkEQ\ntrb6Ah+VNV/6/GcwrZzbX/8GsI5H7v8KE+0CZwViC4jod1VV+GZEe1fyN2oIl8BDv/PBf0/R6UKQ\n+/xn3/c+7r33bn7rN3+T9V6fixs9hnEHS6mALxuOHTsWVTqee3UuhyEQSPIOWVpg8oKpiUnOnn2G\nppHO2V1iQPmFuz83ZgUfPrSfiZlZZmfnaKqK06dPM+z3KctyzLJb3+zR7/e5cPYcG5ubZJk4R6jE\n0E26GCPwJlGIICta4+A+UqxQyDXI8lQW2JXiVa+9g8Y3HH3qBF/8ytcwrQ4zk1Ms7trFZKdDblrs\nPTAv0nrdLtMTk6RpSpHlUkTXdkxwAairPr/+r3+Rw5cd4LoXvZjls+dZW1nFe4tt5JqhE7yz1HVN\nY+XjxuY6q2vrDOuGqmx494++h7IcUNc1b3vr93L99ddjlALDdvcUF+Ehzu20mPN6W0eCjIuGwZ7a\nB/7w9/4rTx17SnwJeZfcxTqh00npdPNn7dz9j45vikSmgCSI6+zopMzNTXHzzTdz9OhRlpaWeMu7\n3sGpp59mfUN2kB5/7DF6mxtUczNsbK5hkoQ3ffe380d//FFUgOmpeU4cf4Zz55fY6A9FRWFkEaei\nPQGwtrLOiI3ovSdLRAHg6iufz/zCNPv372ByclIqLTXS47PMzUyzdvoc62srdLo5j3z9q5xfOoeJ\nA/U0TZmc6LBv3z4uP7CHf/K6OymKgolOi4994hPs2THLF+/+DG//vrcS3BBjZsgzuaGDl8F9lsmc\n0HtL0Ib9u3exubmJTlPWVtdZf+Ysj33jUc6eXaKsGjb6Q6xT8eEoGA6ryCwLXFhepSgK+qXFNj4W\nCppUx4DZOIrOBAu7FmNgkspKtxPqpibLChoL/WGDTrOIgXuCSrFVhBF1SpLmAklGpQmllHQWZUNq\nZFF3c2uToBXWBVSwDMtaRHoJUYgXslQz1Spo6gEHdu/je9/0XRy+/AC5UWjlhNqb5+jgSNrSCasi\nwUHUTVQE71AqFZjOeYHenB+z7y7F8jWGRIuTRUCTpZbCrzBhVpjNt2i8Yj0chLCA1oa0ZdGuBpVh\nlcxW0jQlKKji0u/Ik0qxLf77t3d9RvDg2PJD6e3Pgxdos7ECe9lGPMm0prEVWol2pfWy9yO39siC\nxcdVgRyDj8oSCY1zssMTkNkw0Cpk/aWuKoIXtpgNFt8uGJRDFrotPvtnf84LrnshL7j1ZvpL5/ja\ngw/KrM4IY7dQCluPiDbyb8t8bjvEdNoZhBqNoRoMed/P/yznL57nT/7swxSZZnV9c6wgvx0ZRkk9\nzq+Vj8+vHj/DqEt0BkPY/lk0tmpEhLtpMBMTsUCVHSgVSQoAP/fzv8Jr7ng1Vxy+jPX1zXEcUkpR\nREWhYbQoSZKEqVaLqVaL2UnpJoQE4VhdXWVzbZ1hXZHnggjt27dP5uex6+4Pes+6/na0UG0t7/j+\nt1M222aev/uf/wvBeW69+WbKckCv12Ntc42D+/bz0pfewnXXvkBWTFCkmRQ7abp9zvubW7z9bd/H\n0WOPc9XVV/N7//fvok3K2sYm5WCLixdWWNvaoh8TdRPv2VY758TJU3z+83dzdmmZXXv2AzA7O8vB\ny5/PkSefpt/vc355SZAak7G5tc5gYwuVGPr9PhdXVyS2xORflmXkKjjSLGNmapZWd0KS6fh8OFkd\nytP/+YlMKXUS2EJQARtCuFEpNQv8EXAQOAl8TwhhLf78TwPvjD//YyGET/59r79r106+/+1vGWu+\nWesoyyFbW1vMTE/Rabe49567UV5YeyZNuPrqq2RJkhDtJDyvftXt3HnHaxkMSoqi4PHHH2d9Ywsf\nJWQ2Nraw1pNlCTt27cQYw/TkVAwyglfPzs4yNzdH3ZTs2rGDiZmcLHHUwx4mPjB5lnHdtdfy+PGn\naaWGh776ZRbnpuKSWYAAACAASURBVLn8wIvYuWOB+fkFGeSmJtL2oVPELkt7nn94L3ffe5/AM8bh\nlCdPE9JU0W4Li0lraeU3e7L7trK6wdraGo88eoQzZ5dkltFpQyRXuKBIshwVAmVZ460iqASllSzR\nJyllVZMkWmSErJw3FzXxArDZ6/PUyRMc2H8IT0JtHaZqGAwG5JlHJSm2EWK3tTKkTRKD115mL9Zh\nQ2T8GYQOrRXWBxE79XVkKlmCk9UD2zSouPqAcijb0M4TZqfa3HXHq7ntlpeysbbK4vw0rTTg6ooQ\nGopWjo3XQymEVaXA+/pZuNOoawh6W8LH1Y5e1K2bn5+X7ztNCA3K1hTB0mKdqawmNUP6dU6/WWCD\nLmWzQmMNnjadziSmcCQqHa+JhGBjd5aQFTm5E0JBAPKWKGhUVRW7JkjSVLqlGORGrC5rLVVc9JUC\nTMSDiUxWAB8sVeUxPowXdS+VJxI2oR+zQsFGLcdA4z3eWjQm+pCpS4STJekRGpROGPRrOq2ck8eO\ncPzYUYbD/phNrLOUoijI4kdvHQr5G4LS451NgG95yw/9HRHgp/6+8PDsY/vPf9bXwv8g5lWV/Pes\nX7tk4Xbp/Aof+/gnOP/i67nxxhcxOdWlnRcYoynrIXVdjnf/niUfFt9MliV00hap0czPzmGissxG\nb4uHHnqIra0+SZIwOztLp92l0+lgErlPRGvRY33DTS++kUePPsGRo09i+xU+QKrggS/eg9aK9kSX\nrV6P1eWLPPTQw1R1IysPBObnpjl06BC3v+IVwHcC0BuU7N6/nyefPA4Ydi7u5LZXvJwHHvwa6+ur\nGJOi0PR6A5aWljh+4imOHz/OM2dPY3TK1lYfpZM477Icf/JpvnT/V/Eqdl1OioqAJPje1jpJJNaM\nIFmQ+9x5RYohRDfzurZsbqzwLXfcxcf+Jl6nso9Awuk4dj6X4x/Skb0qhHDxks9/Cvh0COHXlVI/\nFT//SaXU1cCbgGuA3cDfKKWuCOHvBjzLcsjKxfNsbawJvd47QqNEIDZJSAuBldI0FWqx8miEZSUM\nJfH6qeta1M0LDarh6muuIHjFsJbA0FSN2JH7gEPR6XQk4bRzJicn6W9scebMGR5/9GGefvoEZ86c\nprJD/u2//dVYGQeyVkFqFDfddBP/6b/8AWmiKfsbvOFtbyLRSpiEkdrcSuVBNkqjVZzJEHjpTTdw\n6623xgTcsLllqa2jto5qfYPSNly4cJGjTxzh6adPMRhWdNsTtFotqtrR7k5RxyGsd+LkPCxretVQ\nhtSZQFABSE1GSCTJZK2CppEqsyotBIO75OHMO112L+4VOLAWSMt6T1M7EhPIswJlEpqywsc9m8aB\n0QnBOYwW4kATIEsNVV3hvbDkhOAg0OJoeVVgMyd7d5GA86bv+W5eccsNzM10qcoBuVG0d8zQzY18\nnojYrrUWk+koQmvHlbzSaSRwMI5uKhoDeufjA5fTbbXlXhoFJa3xwZP6mqm8Yba1SdAbbAx2sFZO\nUTpFJ88gaZGmJdYFGWyrIToU42p7OBxSVc2Y+RdCwESCgtF6bEszZhrGgDCGA8M28WMUDHyQ1Y0R\nM80YQ5ZIcraNJygl+c1v7yyO98ni67ZaBd6L1Yr14uWlSYSY4mPCd35s8uico0NCkqbCesxSFB7j\nPRPdNlneYnl5hWGvj0GRd7toHYlYviIjE9bbf0dt4pvx+Jmf/xmSVJOn0NRDnPesbKyPyTXAuPPz\nCqwNccf00n0/R2IMSUR1JianmWvmuPrqq2UXr6wZDAY8+NWvceLECdJMOuqinTM9PU2SJNxyyy3c\n8bq7KPIOWxsDjHJj2PGJo0f5zOc+yxPHTzIYiPea0aLlmKSKrUGfhx/+Bl//+iPAbwDQanV45uRJ\n+v0BmJThcMg999zDJz/zSb7jO76Dv/jYx3j8G0eFtdpuxeufEpSPSUXGGyNyj1ICF84tzGODx1kY\nDksgsLBjgh/6kR/BOccX77mHBx54gNGMyNoAIRbRAGhuf8Urefltt9FbWx8nsjxPx0xU2S97bsdz\ncoiOHdmNlyYypdQR4JUhhHNKqUXgcyGEK2M3Rgjh/fHnPgn8Ugjhvr/r9Q/s3xv+zS+8Vx7+JCNP\nDYmJOoJpivPNGJ8OIYhhm5WbQinZz0iTnCLLSKM/0v79+5mcmaGqKpyHlbVVer0e588v8/TJ05xb\nOsPq6ipnTj/D/Pw8w2EfozS7d+9mbm6OxZ0LHDiwn7xIuezQXlT0zWoamU0MhjW/+/t/wKNHjrK8\nssoHPvBvmJqYFPakglaWo+MsJsmiEGk1QJtc9my04fTpM/T7Wzzy2KOcPXuW2jZ0u128TQVPD/D0\nM6eZmpxhfnoqzkOEHl1XsmQcvCSm/qCkP6zj0NWR5sl4sVujsK6OCuZGEpVzZHFnSWHGXUSr22Fx\ncQ9HjhwRZhxQVxXGGNqtDtY7yqGX8xo8wYzEQ6Vis9bjnMd7GQpX3sYBsaXQkRmHxyhFK0244brn\nc9drX8vzLttPaIY0cUVgNDAWmSNHp5WTptGUM9nWIvTeUzVuDNGNFnNHSSBJknGykAAdRIZHSyIy\nOsVoTwtHzjJzrZOgU0o7T2Vm2Ko7DCotRAFr0IkiywrRgjNGrNv9KGGKh5KtpRgbLRXbpqGpSnxc\nFr7UL0z+iBF8tr1oDFDGXRqlzLhg63a740VmTxgnCzmvBh0TXllWZEk6lo0yYw1P+ehHFi/RtUCz\nvUg7KgpGTMaAp90Wan6RpGBGFP7AYFjho4dZnueYqPconaSntg7vAk1dScER/3YdoPEeF6HDEUNN\njRJ6hP9kn3Kbaj9iLY4YcSoK3opSjn2WuoZQ5rV0oI3EEGdrhnF23G6LHFre6jwr+YvOpJwPrUI0\nUq2pIzNxtOs30jfUOipd6NEKhQGjmZubQxvpeJOw3aVkWSb7YcMhWZaxtLREVQ9FLzIiKiO4sZ0L\ng9Qr6ZKFRRvFwvOCVqvD+maPI8eO8mcf/XNOnjhFZR1VvCdn2y3uvOO1/OFH/pR3/9APct99D3Lq\n3Bl6pdgcKS+2MCPhBvm7kku6TpGxCpfu4opECnmrRV7I/dhui4GqC7LKkOc5m6urbKycY2wxcMlh\naPHZT/8VW+sXKFLFa75dOshzT34DY8S49OLFi9z4irv+pzpEB6SzcsBvhRB+G9gZQjgXv78E7Iz/\nvwf40iW/+0z82rMOpdQPAj8IMD83i2vkJhlu9KirIUmay4zGyA3Tbhc0Tm6uvNVhujVPlmV0Jyfo\ndrvkqTCtysGAp0+f5ktffoCnT53m/Pllzi6d55+88Y386Uc+TJ6k4B3tVov9e/Zw280vYWFhQXaQ\nshRvaxJtaLcLskSzc2EHc/PTZLlGYXABvJVE9uu//n5+8X2/ytml8/zmf/wd3vXO78c3Nbt37mKz\n30fFyqLdbnP+4nmOHz/OqVNnuLiyQR2lW2Zn5+hXA7zKUCqhLAHvCT7BB4+zslcxMzEJQXyURBUj\npaxEy1HmCPIQDoclaZqSIx2k9aIXp5SJN6zDB8TV2YVn7ykBs7Pz0VdMILk6fnRenIOttaANTimc\nB2+35WZG8Jp3YF0Vg6VIexkF7VSBb7j88AG+9a7Xct3VV6K9BeUxrodSDTptaBpPkmqKRB5cAB08\nKFF5F4r+ts7gSNlfoA4/VmpxBJxtxMHdGJQfSenEQBgUmSrJ7SZzxTPkiai199wMPt9Pb6AYNIGy\nboTJqDPSuAfjann4JagAPkRoUd6HScRhutfr0dQ1moCPSeRSh2wdROVAkpuo449IHKMElsTzMFJ8\nUUp2fITAoYT1qxRa6fF5yGJRBzHgR3YmgFeKJCY/31hR1IlGkJcuCfs42zMmCiMrT6YTinZOGAd6\n8W9rGoFMR7qg4sElxq+1a9DaYIK4gAcvhZRX43WwcZcamgoY6QBGkeSY0Ewiah5aKWywUfRWFHaU\nAltbkiQnyfJIrPBoI0lRpYY8k6C7I8vGDLxBOaQaDMd7Zt57SFNMXqDj+TYqumGTbHfSMZFbG4W6\nRV5Grk0i87f1jY1xsm2bfDz7lOXsFKM0E90283MzGDMPeKx3cSYqSMnmZo+yLAlKlHS8dUwUbbkv\nspymGTLXKXjRC67imisuw/lAWuR89/fJeZ2fmeCeuz/DrS++ntW1DdYHVpzttYmaj89OYkop8C5q\nKQIRthwlMYk2FgJUgy2qsoQQ6K2votKUJC9w1tNqtciS0Wv8tyr203OzvOMHf5gdC9Ps27PICAr9\n/D334BrPysoKw/7gv/m9v+t4ronsZSGEM0qpHcBfK6WeuPSbIYSg/iGTOfmd3wZ+G2D/3j2haaRC\nMYkQHFoTk3FRUx76K664HLQhMSlra2tY67lw4QKPP/kUJ0+e5NwzZ9jYWGNrawuNojPRFYHgToep\nyRke+NKXWF9Z5Sd/4r1oBVkiFaeJD3+RZXjlqesg2LiWyvT80hmeOXNCbCDyTJg3SjMsG8pGsWfP\nHg4/7wq+8KUv8oH/63fIEk2C5tbbbuaxxx+nLEvpBIJAn60sJ0lTOt0JhsOKjc0BrVZO4wK+cdSV\np9XKqG1FNZrvBEWvrGnnMWDUQt32WpHokTipp7ZNVNg2lGWNSUThYLQqW9bycORZixHZzeGp64ZW\nq0VtA5sbWzRO/Lkaa7Ge8QxHDaWKcyqVpcaR1p+Kyt5RD1JrjcoSUgKFSjDeMjnR5s1v/t+4+vlX\nYmgoEoXxfYLSJNpQVj3aeUZWpGQ6i6wvPd7/8R4RTA2IzJCoCkrwviRIGyMOAkopzIhs4USk1OEx\nBAY2IU0gC0NmwnlmW6ukZpONquDp1R2cPNcwLB/Deth3YD+dTg4B2aOJMGBQ0pUmWhKObSzeikSW\nXDNJ/EEr8csLjiwRLbpRNylqEgmtToZrrCSq+BQ1TYNL0nFXJxXytlpCY6PAcBTslcRai71PlmGb\nRrqwIDR7eU9S7DSNFVWawBgaq+t6PM8qimK809ZEFfumaYSQQIhFkIvEgmw8EwOh+o+6QucsDc24\n+whs7xVJUAcXoaYxjOq3g5+KpA6vLTomSBeVRrQx4OVauOAENtZQugYdpxg6NaLkExxJEpVcgrxu\nt9tFKUW7rqjKho2YdEb7eWmRk+d5JGF4vJdZ5aVKFQLdCiw7YuYliUY1agxJpkZsheq6HP9do45M\nBc9w2BdPwFqkriYnhYU4OTWBayzdiQ6DwUCsroaiyzko+6yvr8fRisC57aKFCRZbV9TN9jDwX/zI\nu1BJyl98/JOUZcnps2ehEf0Pw2hJYXvsqLU8j00T4tdULJYUAYlHRhtcVCTXvo5qIppgLU0zJM0y\n+msbDFVUswl6XGQ570hMysrKOsEkrPZ6HD+97SL+y+//IPia6194Dddf/8LnnE+eUyILIZyJHy8o\npT4C3AScV0otXgItRms0zgD7Lvn1vfFrf+ehjaE7Mcnk7Cyd9gS2HjI5v5M8T1lfX2d5eZkP/fFH\nOH/+PL1ej1OnTpGmKYNBSbfbRROYnOyyb89eJqYmed5llzE5OSnkEK1ptzv8wvt+iR/4gXfimwHz\nC3MYE4e13mPrmmDlQWgXCa2WVEtaJ2SpoW4aPIp+vx9ZYlC0c86fWaLVaXPy5Ak6WZtQ+HFl+cBX\nHpYqWhes9/rj7qGuKvI2JJnoH052J9hYH1A1Nc4KbBEC2EZcjYfDhqKd0utXJGmLxkJVDWnnGb3B\nkImJKfAaUdsWqKmxFm1SqZxApJ40uKCoKov1FSjR6XM26rQFReM9Z5bOU9kG64WlaW0jho4OnKvA\nQb/pCTMxBPAOr2QZHR9IceQp2KZEo/i217+W2192K9qWTHQztCpJZF1F1P6dJ0mU7MolijzPRLWj\n2RYVHbH9/raOHMSuYiTIrDXWg4oiq6NzonUiZAmZ+tEikLkVFtqrTLU28aFipdxNr85IZw6wv5Pj\nbaDdylDGk5sEFRLRV/SexknQCVEx/NLOEG0gLu1bK92zrWrSLL+EWr/9F/gQc4nS6ETL/Rh/b1Rk\njbuvuPRvtCINUDcN/z91b/Zr25bfd31GM7u11u5Of07dqltNys6161bjqnIcmzgyJrExchw5McIK\niAce8xAeIh6AIIRkIf4BkJCQ4CUSDhKPRIATxwkYy2BDHFeqXO2t255+772a2YyOh98YY+1jW/Z9\nSKSbJR3dc87de5+15hzz134bnVJ2mbbElKqqR0opQ+M9bduKPJoW00yNEZJuHpNpFMZqmpTDgZLr\nFzIIyJUx7rIwZPSlKOmLe3HXt1gjI69pEcpGjLJvixH6YeD07Kx2GUopeZ9JEvH19fWRc5TDZwG/\nQJJzmouSKvlWJKXUEcRT40keE3rv0Qqslk4uX3GxtFEqy3tFNuuBzXqgOAeEEMQ7znvp8FPe8cbj\niFo+23G8Hb2tyOdy/cUgVQK/C65OCo7jUbkeu4OAZ7bbLW/88Od4/Ph93vr+2wzDwMX5GZvNhpQS\nZ+enuEW6tc1mw7Nnz5jnEeh4/OSyfv4y+gT4m//pr+Tf/ed/UgiurxDk1x9+3exSws3z+8d8kVvy\n/7vxTTcwSoUqyYsn/JHXmz/0BicnJ3RtyztvP/5Q7xk+xI5MKbUGdEppm3//vwH/BfDTwPMbYI9b\nKaX/SCn1w8DfRZLdI+DXgM/+SWCP1157lH72p3+KGCO//09/T6qiqOn6hmkaOT09ZbXuORkGbt++\nzesf/xif+tSnaK1Uqm3X4P1C0wgAxOYDWXYHzs38wR/8AZ/85OusTwXgEQlV7LSoY0/LSIgOYwzT\nuBCjZug37KeRDx4/5h//n/8Hl5eXKDq0akA1HA6HCkrxMRCV4vLyUnYITn7umOWIlDHgHW1neXjv\nPrvdjvWwIpK4vtrhE+z3Ix9//TUOhwy1fXGF7Vp6a7h9+zbOCSmz71tCkgfLe18h/95FluBrF0jS\nVdUhJhlBivlfNnFEZGGW2ZOUpc3L1mV26KRxWbswZCmkIq2z5DGKSQ7lApt1R6MDD+9e8Fd+4ef4\n7KdehxRQzmEsWT9SxrI6c09iSsKN0okQvOj0AQpbK/Q6TjPH8aHNY7uqag5QSMNWEb2iUcIXCxgs\nGpUSjYq06TkX3Tf52C0Hccs715/iermNau6xBBijBWVwiyA8S6BHRVojfCZlhfvmgme/32OixnYt\nbdvigkCNv//eu1xtr7l16xa3zi/obIOKotBfQRAxEXnVf8x7l0fA0DUtIURS8nVfHPO9JndrN7uD\nNgM1tAGbbUiiNsLpUqp6kwUfRW4rd29FI7Ai6ErnljUGyxhNyMGehw8fCI/QiCKPUqoK2TrvISfU\n7W7Hsix0bUvTdhVIUjr3Kcg4UsWSgBNL3q0WHVKlVHa7OHLrUhLX6/I+S3IwHE0Zy7NvcoItViHl\negN1n1Ycle0NeS5yZxhiZHEiBvDi+orgJMG2raBSrW3rZKcAjArtpLy/cRwJGpZlorUNJhPXU9HQ\nTNKJJ2VI2fW5ANlMFoSQ7rcRWH7U9d4ty8Ll9RXGiOTbsix0Xcc4jvz7f+vv/Imx/aP4+pX/5D8+\nAreU4u/8l//Vv7Ad2X3gf8433wJ/N6X095VSvw38qlLqPwDeAv5tgJTS7yulfhX4GuCBv/knJTGA\nFy9ecn7nDv/0d36Xpmlpbcubb36Os/MT3njjB1mvB7q+ZbzeSftulLDCvadvWhIBb8RSY7+9yjYc\nBmMt1mjWq1O++pUvC8xbyYGKJJZpzi1+fiBsxze+8W1evHjBd7/7PeYpCAKv73BBlq/d6gwdZeQx\nLe64w9GaFAIxReZJOpoYj+KrUz5g1hrmybHMMirYbDbMh4Ps95yIal5txVYmAibrvDVdy2EaaxKa\nFklot27dqmoD1lq61UCapgy6SKQkYzhAKuAY87xflMqlwxAb+ZRm5rAwLjMqKpzzQLbPiB6FoTMy\nMrJKxpo6Bj728IyvfPlL/IUf/yp9pzk7WQPQtiuxpI8el8cdupFA46PDtgV1qmiaPluWxBrA6iG1\nFnVz35N3DGJrkTXdQv6e1KB7AylikkDAUROdaVjjub9+Qd9MpGgZw2vYk8/RuxOcP4gpZlDZKdnW\nKr6Mw5YkqNNwmNntduzHA8MwgG1RKTItcx2jhRDo246T9Ya+aXNCOBaNzrlXHA9CEHSaMWIVY5SG\nBpq2xeimvg+A1hgR/i1yTfLcCS8qpazj+SoM/8mTJzx5/wM+/alPsl5taHV37AyUIjghrIrzgMoj\nyKw2r6UbtFYTgqnvXWHx2cnD5u5RAz4KOOji4kKQnIdDHnMn6fCddCZGQVgWlulol3JwcwV1kHTl\nH/Vty2oluyGXeU5lRKe1oIMr6EVrGUG7BYMUYNEYcRW40byV6/+HNzhyDfO1NDBYQfP1q1XlZoYg\n1yBqWRl0TZtFvgVNGqPcz5RkSmK1wTQyWg7O5V2TvIeQIqaR8XXRlK0uHfn9zt2cnylJnItTbHfX\ngkjtO1C6joRlqpP4tf/pv5PP6QLXuz1XV1e1WzRGPA/btqVtBMijbww7tLL1mpYuM0ZQedqQcltV\naC2lA17yJGWeJlarVX4/coVXq02+diK2XFCQKYnpsEwx1qIQ5OMr1I0/7fWnJrKU0neAPzKsTCk9\nR7qyP+57fgX4lT/u//1xrxAjd+7f47d++zf5b//r/0bmyn6kba1U63FmmnYCzcyq1MEhoAiz0LYt\nfdMADctisI2uiKQYoyw3M4w5ac1hHLm8vObly5d861vfYrvdMrkFY4aMOgJSCw2QYDc71uuNkEij\nyjdcM11v6drhFbJrilF2C7MD3RJDIinZB5SuIcbIbjzgQuIwLewncYtOwoRmnmUnJBB7CWDj7GDO\niVMZfISmG/AR5hyA0I6TdkXTdPgwUazZPSofYHkPLojckXfFlDGxhCC+UinVMYCg/DykQGeNdFhW\n0RvFejXwY1/5Av/eL/0ih90TTtYrjFZ19zg7AZaoJIr0WpcquRXrCNOIyoQ2TNMknVSu/lMyFJJ6\nCIH1el13R8WyXimFSsK7Kp1aqcDLbo+USMGjfeSUp9zffECb3uYwrtmNF+zTp9nZgUgguiBAnijL\nbWsMXSean6WDkDGfIqZAv1rTDStJRHU/Z/B5l/Taw0cUMd4YhSCcEq9A0pVSIpGFgDPatoVcbKQM\nWkkoUMcJg4hS6zpuu/nZyx5sWRZB2zUNWml8Sjx69IiH9+7jnSQNn6WEKngh8cr4DoCoBMRAxLYN\nm80G5xzPn78gJXIAPRYYBTQk/Cwl+0rEGTqqfNZcJOpAiB6rFSergX2iBv3bw1CDcfl5+/HAfr8n\nZGX1phVJrTkT8eciwJynDeWXMQYvSyx5RlFi9Jivfe3MOGa3iCjhHEeax3tfdmYqZiuc5GVHtji8\nXyCDnZRpavFTCpUYI0ZZMclMMrJVRosRbACdjkIKN8eTKP3K/rIogazX66ohqZSizUmyXDOVzymA\ntQK+uHPrAhc8h8OBq6urDHiZuQ7i17harei6oU49ymgXkxGseZsWlUPbnJB0UwsCYxLrpme/39N1\neSepxAy0aQyHgwBXrq6uOD09xXvPZrOhbVsuzk/EH892nJ2esN/v4WT1YVPIR0PZ4+z0hL/3q/8D\nKnr+3v/43/M3/p1fprMQ/Qg6ENxM04hdCbQ0TVfHKgqRVNnur2Uktiw0w4aXu5H9Xpaiv/O7/4zt\ndsvsgkg0TRP9sK6tf8RgGkE0KRQpSCRXefSINiTn8c7T2oZD9tNywTNYGeFprdFJZyCCZjWcsl8m\nlFZ0bc885vFiAm06xllIqLPzoBoiHm3L6CiAUkIoViqjr1oBFzRHhYCQEofZYdqedZ/FS1OW0jIt\nS/B4IjGprEqfgQpJVPiLeoD8Uswhoq0QW71bWHUDcRmJYcEqx+c/98P8mz/zl7h3+4zz0zUmRW6f\naMLJXRIBl21flsULGCXGjHiUXQDJopRo0UXkWi2InptyAmOW0ZghFNCIyvI95lV7E2PEjscYk7lX\neZ9GJEWNj4qembU6cGfzHifNtyAlHs8/xN7dYlJrRjWQ4sS8n+VaJ+HkNcYSVGIK8RWeWkqKkGTc\nFnzK1XDP4h0GJct45yo6zdhjkJfxVoa3I8T+4i9ls1wVQJMr4Zgr3OQ8yuRdEMdxWLkOZTIxTRNK\nm4xCgz7vcJQ2wncK0oNrZYgm0Rhd35eyhuRiHjMbxnlit9uJ9ZCVYhJgs/FsNivOz88JIbDfHbCN\nTD9cCGK3Y20N3AUF2RjxjZP7pghBEvPlbscwDNjWsNstuduQLkFg5pLU1+s1m9W68g+X4F85B2W3\n1dku38PjaC9k0JAqI+gyjr0Rf0rzr/PuTP4uf18eA6oEjggBtFH01uKTpmuHei6XZcEoJUAp59hu\nt7UwSEoTlGK1WrM+y5JOMbBME37aEtIMaExzLNTK2dmPB6yyWeUnchhHtrudXKeS8I1lGIbaackk\nKFKqp3ImiWJE+ujBQ2IUwWKf5cbmeWa/lTiKNnjvWa+FmjAMAzEnS7QQ7Y1VKA9dK2dNp8TsRSC7\nqJrkb8hnwtP3PWdnJ3V0XD6j9x5sy3a3wywLQy8glw/7+kgksq5t+Xf/+i+yHnpee/gIjcFozzCc\n5DFH4DDucC7gQkIvUapSrYnJ8J3vvMt2u+X999/n/fffZw5HJ1OpmDt2Y6DvVuwOnqYZiMnUTs20\nDW1rCEvIrsUK50WUc5k9bTaZmydR41dGiK3SHckIr9g/lAcIUq3GKQFBKZr832mRWXgXYZwdEY1V\nVtS6UVk9O7f1Tgz+tDXi+5QfFpLGFbSYkuA65U2rT+Ks66I498YoYx2Xl/w645VK9eoWkTwywdMl\nzaa3XF8948e+9CZ/45f/Og/v3hL8Y3AMQ4dCpLoO4zUFUQeId5sy6CQq6wLWUIKUTlmk10tAiwES\nAa2Pbr+CBAsQVR3LasFc1wBZuxClUcowHnYCYtCIc/HiQDlW/TMervc03fcZY8fz3QN26iHz0hIb\nw7yMMAWWk457+AAAIABJREFUEFFaKvA2o2RN09C2giYrHk9XV1d4FWTvGFWt+qUbCFlWrK2fw3vP\nIXOW1v0gP0fn0aE5Psg+iwZ771mCCBaD7HNQSvQmb0C34bjQL7uSvu+ZlwKmgMaKTVCoXVV2g1CG\npAKGY3CLSuD3WhuMUZyentJ1XR0tNU2TKR8WpUDr3DErcepWSYRmaQzOh7r7gWwpozzGHgd4ZYz6\nQ1/8Iss002jDbz7+J3kn2ddupHToZPh727ay9zXCLSvv33uP7WQ/qbSqKu2CwGvyiNBIMlPHPVr5\nNxJHgEhNIEqKGvlDvg/aEIlEH/HJM88Tly+vOTk5qSM/gL6VgL9er7m8vKSos4CIRutMmfAh0Q0D\n1rSYnAyIAiRq88+A43qi7M1cNq8MIeCmGR8iyQv1o6B35QyWa2AqpaMUCYW3NwyD8CJV4exKd4Wy\n7Ley43z27BlPr7d4JM61rfgbdk1D2/SyN1biDGBaQYMmjnYuIRceBekYgggOl2LBZ2BN2T/t93u2\n2+2N/fef/vpIJLJh6PnCm5/jfFjR9z3PLy+ZppHL6x0pBaZl5uLOXRpr+N43v8nXv/bPeXn5nBcv\nXoBZ1UOktSZKHyyIJGVQWtx/xykyLntp68OB9SA6cUGJOO/ictWd/c8WL6KlSimudluqJ1pjMVia\n1ggXrGmFGxOEFKO1pTEtzkfMsSASmB5U7y2lREtv8eIUbIxlCZGIOA/L6AxRNW8NS3Cyn0ni+QUy\n5hQ324Ax0r04F2RBHTw+C4HGRRGQQzUXZr1WOXBbGqNpSFitcPOeNz/7Kf7iT/4EX/rSFzhsX7Dp\nO8KyRRlDDJ79QZbKQoJMBOdoGoPzM+Ms3aq2GpX3Jo1uCMhhNWiiDxl0YvHpGPx9HqUZDf1qgCj7\ns/JgqCQ6ij4EYjIEPaO8yChZ1QIRi+Wse8lp8z4n6/ewzRXX02127gc56AtG36D7BhUjrVaMZsJo\ni7aityiK/4YIjLsDs19Y4pJ3lgmrLCgwjSH6JBJbOagYI1WsRh1BBTcW+oXMmqLKmp+GlJU+WmPp\nm7bqJqWU6DLoRqaLkgBFOSM7SRvDmFXFrTEk3YlyibF4Io22qDxecrlTNMZg09FUsggNjMtM24iw\nQGMUpm/pbINnIYYy+lMEq2iVEuSpUXXs1fc9vaym0FohJ1n0OH2KpCAgFHnvHqUC3/z93yMlxTjO\nzLND64mUdz0xhhpsxRHcYTPxnhDkbMejIansegX5ZxvZMVlrUVFxdnZWd9mtPfK5UoIUwCsh6But\nq5O8CgLMCfq4s22VzdcQGmRHOQxUKaVSdGkNq76lMYZ17pK899Kh+VQ/l8D9g/Az80SpM4WzJkIt\nKXvZKSPrBLQ8986LAHnTDYBmdgv78Th+JIg1S/Fog1z8zAfp+GJivd7w5ptv8snPf4nMb+Fr/9/v\nsr2+ZH9YaDcbBkVOqhHnF6Z5YYmBy+2Oxy8OtEqkpDor/236oSZQkGtYYl8tShE+YSk2fL7Xh/2U\nd7MOY2z92g/z+kgkMu88b33/A97Nel19v+Kdt9/j3ffe5vr6mvc+eILzQhZt8+iLlOj7cxZA2UYW\n1jFh2g7ScakrgAARu3z/8QckwTLXXYsLge32ZVYlgCKhVMYVMmpQ+GzpIEG6YXLHRaXW2aU2o60E\nVXcQ4NMNblUJcj6rYpT9RKlAy5JWay3K7Lmjcz4SfMzJNNTAqSjLfSU7DxLTLKoABUXmvewGjTEs\nbqaxBqUS1nQ0Bvw0sowLn/uzf5af/Ikv86Nf/QrLdI3Rifn6GevO4t1BtBQdGJXy50oiMutDfSC7\nvnnF/dao7EuWjh1ECQpHSSmVuwF9nPGQF/HKyp4rHR/GtmkQG5mImlt8GtGqRWmHVjNdXDgfvs/p\n8BiU4zA17OdHjPGEKWkRzI0iF9V2Gu/lgbGdwi2B/X4vPlbKEGMipEDiqOfZWhn7jOOIybsQvwix\ntrgWhNxJKaWq4kFxZJbPoSpq8KaeXErC1yu/L1BwnfckJp9NlQS4UwwypTtV2a5F/mx13sGo+EqH\nU9U6SnDO5rVNHhHqHMyVUqCVaGBqKQqdDzTKkjLJ2GgZgxYydIhrhmEg6aPmY/m3ghdJNJ3VSUIY\nUCpxOEyIuWyPSCGFClwqI7aQd4ylICijsGma6m7NGCPE43WPwnCyOZMzlpNdrN8v/nDHXZokNA2k\nEHD5ujRK9C1jIO+WE1e7y7rL7LqOtm1e6TikYxZlDKVMjQsg5//8/JwUVb2vh1mKkNkd/eBUEhSl\nKmNuK2sUXxRfchEr2pqi4xmCENdPT09lfKy1mJVOhzpS9d7jQqAxBu8Dp6entE3Lt7/9bb7+B99h\ndgt3797l9dc/zg998fNip0TixXvv87v/z+8wTROtUpysT2i0YTtkh4Tg2I4HrrY7rnZXJKXrCNQ0\nEqv7rANa4mXZwRljBBSXOZFd3xADmbsXanf8YV4fSqLqX/Zrs9mkH/j067z24AGpyAYZUSxfvJd9\nhG1IFpnba8OqlQAQEKRYQWAVRN7V9rouaK0WBNQ7771Pgb32q8wbidIVNcaKiGq+4OJfJSOzQkh9\n5/tvc+fuLeFXxUDbHs0Ix/2URzAd2+2Wq6stURuUljGkzTPn8irvTaqO40jycDhUiRylFIfDgcO8\ncHKyzsmuPbbs8civkf2YwqVjEtZKKu7pes/m/JShsWyGnkSg0ZGf/os/yS/94s+T5pHkZ3GxDQsq\nCXJNEp7wsSTIqnp9bi6fXVjy+3Fc3L5NSgprNU3T5cAjNvGzn7P0zlAP6c05eRn7JKS7sXkXWsAP\nBYlZlER82Iuzr98w8ILGPOWz93esu3dZ5hOeHl5jTLc4qPsEWkJ2aJ7HA945IadreZj20x7nHLvd\nAW0apmmhMQ1JJQGPBOH5RbdgjMmjD/kMQ9uxJAkO/TBgjaEfhgqjr0oQxehSS1L3MbC7fEnf95VH\ndbJZ1+uSUqKxbfZtS6xXK0l8xXg0/1xjxPQSZeuZitHnfzfUrqUUSiHEY4LJSS5k1Ra5JgLtX7Ja\nyXa/4+XVFu8DTSNdXt92XFyc0Vpd0aNKKdabVa2krRWtxhhlNFE4gaXQtlYzjnM+v+GVYNfkINg0\njXDZMmHYuyPxGnWknhxBDsLdOiZS6SZvvo4EcyrUPuZVgMoj0SIHl1I6GmumpSq4l2e4XNfCGxQl\nlOaVs62VxWiEzhCoz6dPsSJAiyffYT5AkL8nqmqpo7WY8HZdR9s3FDSgIJZDHQGXQvxmrDG5EJqm\niZRC/TprZSS97lqaTuLK7Gc2mzUxCo1AZ7m/N954A7XpIQRePnnK7/3e7/Py5UvaIGokKSVM09Wz\ndjgcmJaZ9957D+9ll1ssqoTy4Wmzhm55RoJb8vOdWGbpRP/Wf/Yr/0Ilqv6lvpRS9KtTrg9TrhI1\nXa4wbdcy+T1+ksMo892ZobE1QCilmQ8SYCKJxy8ek/J+yWiLbjR911cr9/12V+ez43iQJGCkikpZ\n4yyiZaSTYC5iw9owLxFrIy7LyNy5cye3/j4DOCxlAyWSUvL+IqAzpLgsz30US/Hgb0gPoWsSc1nc\nWGnRj4whMOeHUrqulsNuR+F3aduCFifk1dDTGM26bdknzabraZrEj/3I53jzh97gK19+g+Rmds/f\n5s7FGV57FA1WZekpJSalKgMEQgisNxvmWYA3JRF1nYyzTHOUXSrE0d1ul8cqNyDiSgGC4LtZKeus\n0q+UkLubpsEUIrMxJATIkFJAJcP9R/eY3EJwExv/lNP2Hc5PtjTpKbtDw3ff27BVF0ymJSVRgtkf\nJumCGiEIyy2Sfd2qb9nFSD8MArZBOFGzW1gWgZP3fQ9G56mB2OSU4un26Unt2gBUko4lplA7IZtK\nJw1JieP03bt36wQgRtHpPAJwblbfMnIrPKymaaQrC0ezQp8CPrtRG6Wxjex0SpcvBogRstVQ2duG\nEAgpVAsiFz3DMKArOKiAJ6IIRidxuDZGce/Orcq1c86x2+5pcoFnss6gnAtRiBAPMBm/xSg7Gtm7\nhDxeFHWWQlURW49U34M2x+RVEt96va6KHDFrXBYZM61lV1VpEV4x5smKUgrnJlDyGdu2JSIcrmma\ncoyQEOkyVUeQgior6Ciu9zvpOjKXNKSAUbkgpmhkekpaSQhFJyafkaiinA8SzJ8+3fL48WO01rx8\neQVJpjarYeD09JQ7t++y2+8pnmNlf5mCiOwWjmXl7OWx6zp/3bJMXF5ey5jcWszO0BnN6ck5w6qj\naRuZkATZS89x4rvf/g7vvvV99lv5rI8+8XF+/M/9KHazBh957913ees73+X502dMhx2np+ecn5wD\n8NqDh2yzRczz5895+fxZ7arLfq7ve/rVgDEN63Uvz99a1bjxYV4fiUQmyMHE6HyukBdBjsXIshwA\nTVQSDFwMaAVLCsxuRueR3LTInN7PE8viKippWUTJYGZms9kAMI8T4mekCS6ikqh4LHlJnBSk7bVU\nrbl6HQ9zDRpTVk/w3mOvd1neSdCBAUVUWnT1VEFWQsrQ4CV6rLakFGgLPD6pTF7O8GxtpAvwHpQ8\nODHmMWE8yhSlMFUUlqDDVJZnSoRpou9arIo8ev0+/8ZP/SQ/9VM/gY7iEGzcxDKPdNay2+2ERKuk\nSrRWVCZs06AzkCWScEHQoU1zNP+0rTky+p2THUCKqCiAlGXxx1GWEQDDOE8VOmy1rQg3W0c1ktTH\nZUYrlW1GBKgwDB1Jw9PH72H8xMpc8/DRewz2Erzn4B7xbPo4q4cP8E4Tdp5pPuDmRax0DMzjTLSW\n+TAKKk0fSdUhBK6vdzS25XA4MM4TfS+V5jSOzOOhdlBQquQekmKeBKVXEINN02C18JfKKNVoLSTn\nLNrrUxH1LXqXxw61KFgUwd+CjGttIyolxsrvTQbXKOH6FFkvYmK/2/H8+XNWq1VNGodRINDFTmae\nZ27dvc1mWNM0DUMnCdMqxTQHrDbcvjhjnGcsRWFF1QRbwANN0zBlTqNScj0KSEPl5NbopnanIbi6\n35Yx64C10lFcXl6y3+/z7jRB7tI2m418fRnreo/3IkFVY0keeZXR/ZL5fQBKR9pOSwIDur5Dmb4W\nZirJzjdQlG3E/diIENcrTsddJ3qwu91OzGPzPkzFVBNM6ZRCjUjyWbhBEah7oxD4xGsf58G9+yxe\npgOzC7IzdLJju9pekULi9OyEzWZVu8I5zLK2WOSa7na7WkhuVmvOzs5Y94MQuduWZy9estvtOEwT\nXdOw3Y8ZTJI4v3WG1V3u/nqWaZTz0IoI9dPHj/nHjz+QpOkdH//k63zlKz9Cc3YKKbF98pxvfvPb\nXF9e4dzMxdkZbrXi4f37tG3L5eUlL168YJ5nnj59mrs2z9n5LeHr9UOdFnzY10cmkaUkKg/LsrDf\nH9hsTolKM7k90ySinrOf6duOqBUvrkQuCu9hCSyLqMxLBZntOZSMow5qpiFWYurZ2QkhUWfVIAkk\neYVRDSTN4gJta9jvpzoTx/RsDw5dUV7cWEhrpnmmaTM0OiTQnpgEFRZCQEVV7UtuqmWQO48UFdEf\njRmLhYJCdhGzdxlAJXsDBRmabVn1LUPbYJX8XJrIz/zUn+dn//JfBr9naBv8/hmzX2SEp47ahAKJ\nDujWcrZa4aMg54wxpLjk5bskz7OzEzabU6ZpommM7MCi8Lnm2WHaDj/7VxbMFZIdICpfF+8l6Cgl\nC3SNorENIWsSDsMK7wLWaPCBMSR0XBhoWNmXnJgnPLz1AbZ9zjiv2T29z2P/Gu8+1zj7WJboLrG7\nusaNEwqxqsDoet+ttaxWK07PziQYtyusbUlJcev2BXCUJWqahrJ8DSGwzDPjOBJTkp2n0WgjXZBS\nQstIS8TahrbtSMiYyxQ4MqlC1Mt+JWbFFEn+eeQyCxdPrbKI7UqTtAYfX9mHkhUyjvy1hMuOCmVv\nMc9z5Qydnp4fZbOMfO/li5esVwPGvEDphtVqxe2LMyJwlr9frIkU437PvIykqGit5WS9yWRsXx5s\nxulAl4EjJeiWcXihW0i3J595mhfhdU6L7Igaiy+7aWO4vLqiaRru3RGXeGOkS09EtDnSGGbvWLwg\nC4FKVWgyHaG8j3mcWCaZyoxZdd52Lev1AEqew75p8x7QMY5z1ldLtG1Pm61YZJwopHdrW2bvcDGj\nD6OohpT+IoWjVJXceyOoXN1ijOzLVsD56RmjE4j8FAKmNbz7wbuctGtsUwSlNdaK+HNZsSzZxLaM\nIgGePHlSifrr9ZrX7n+M/tMrxnFkf71lNx6qZuXLl1dsViev7LLH0aFM3ifmgt25iI6a9956l7e/\n9xaZfMrHPvYxfuRHvwKdPC/b6+f89m/9Fm+//T6dtjTGsNms2GxW4jyyF0GI777zPs+ePZc4ksfb\nH/b1kUhkIAftkBUunHOMc7EVH2lttjVRib3z1UdMKpFFrN+jYpxFBWDJ3VLbiiNuWBaUmombDRpw\nXg7SdrtlGETOxVpNam1NMm0eiwB1zFCs4JWSUZfzHuelai2fwWdmeyISoyGqzFnRqhJWY64uCZEU\nEz445sVXqHrM0GgXPEUBXRK0EDqtVrLny/I4fWfBz3z84R1+8ed/htc+dh+rE701DL1hu034Zc9m\ns8LYQSrxvFS1zU1h3qMJY6neddOy5HGrygHyMC2iYDLKeMrm5GwzD0RrXXkk5YE97iSy0eSN/Uwh\nPkPRb2xI2uHCREgJFyZi6lkPlo5LNuqKh7e2nLTfALfn8vKzPBnvE7vXSB2cG0vCiZCuU9y/uE3I\n+0/nPbppayXcNEKgLsvnpukIIVf1/ijdFGOs58B74cN0efE/Z7HmqKgySX0n+0FjpVtxZQ+ijnJh\nBbTgXAEfqMoLgiznpTXt0KB1R9+3dV8CUs13najOHM/mkbZgraXpXpWy0lqz3hQ4v6muE+iMKLsv\nqEPpOo4Bv3SIZRekUlGHaIhKrEkECStWOimlbJiaCD4SnM+cNEX0Ie/0ssq9OnaiTdNw69Ytmnxm\nytkoBqkxFgPThLVCWp/dwm63hTRLB9s2uYs1tGZdv35/vaXNk4TOCp2g2WwwpmGaJs5iZHGBeZ55\n/vw5RilWq55FZeHvEOt6oshDee/ysw/RL1ltJOVujLoXTHn/Vs6SzolNpg+8AtwqX6OU4qTtWPVH\n37wf/OxncXkF42LA+6VKU5XYecgTj7aXGKlRDMPAer3m5OSEEBJuXpguL7m8vMSgOTs9Z1gPGRQ2\n1QKnKJlIwZ2BaPkaFF6sCmKc65yjbzu+9Y0/4Jtf/wambdjv97Sm5c69e/ziL/xVhtt3Mxwz8f/+\n9m/z67/+63gv3e29u7dZr1YYa/E+/ZHd5p/0+sgkMmNMBRAUhnshoc5uQaNY3MJ6WAk3xRUYecJY\nIQtPy5LHfhKI+n5FjPJ1yyLEW51/r4ypAbptW1rb0DUNu73YmZd5M/AKmjCEgO1bvF8wqmW/jEQD\nKgc9Vw5uSrgUMnfIQg5wOkk31baWaZFK0AcZx4nArUabhsV7qeBSqFwhAKUSjVJsTte4ec+mNfzM\nv/7n+eqXvsDt8w06LsJ1I7BqNW684mTVYK3AYlNKbIaedljVqlgemkwwvaGoUFCTrRHQCinlRNAQ\n5yCw9yzlVARu76zu1DHNzZ9Rxk2lICj3RZK0SCBBkVqCED0RS2s7zu9dsMx7zPiSRyd7bq3fxbt/\nCst95vQmWz5NGE7FCicZmuRF0SEAuiHE406k63tJOHmZr7TGJEWTk1s5O2SeogTyY6Udoz9KQ6VU\nCwy0pbGqAgOKEoePQqKXkXWmYMzLjc8ea9Vb+HSyX9FgCypW/RGSbHkty0JSR85OvxpqEBy6AZ85\nPoXiME2T0ByyiksqhUbWpvTe46YlUw2EU2k5epSpGOU5ORxwIfD05Qta27A1hrbt2QwrjIZ1Doon\nJyc3dmySvI8cOn3cKSrxvdLI/S/JXGx72lqElOfwkCWNhAQe6boet8xSlC2uks2bbPZZErswNsXi\nB++rK3ZJ0P1gQEUe3LvHfr/PMH6dUZSdjNidrCBUCrXjOd2siFECvHc5cXdW0KTSOsqk5Ma9U5nX\nBbqCPWLu1kriUhmpDTCOe4ZhoFm3KGUyElH2iaebDW6Re7SfRgEjhch0GCuxWZ5DQV+HEMSter2m\nbzrGeWacJ5ZFEtfp6SlD39cOXqvMoYuR692hAlbC4vBhyVY6WVi9NTx8+BCdEqvVwDLOPHvyAf/w\nH/zvLM6x34/ce/iAL3/5y/yHf/tvg7XgAr/1T36D3/iN38B5z+EwvsKl+9NeH5lElhR11g4IRwyK\nNLjMlFU2itSqkj9tayoEtwTKthU1CGst8yzahQUmLxYXEZWV0Qt0VVQDQpafKsKpAshojPA0QpaQ\nck58l5TSWX/OEb10Wj4vxwsFVXgcQgCZZ9Fk88EzXl1Wdf5AwsdETBGFyeimnMCswVjNqpWuySjP\nqrN84Yd/kH/tJ77KZtWx6iytDpgo+8S+b/FuAiKmyYnGJiJlJm8R9QP5jDL+06R0FGolX0u0qSPA\nFBNo2VmR9eOU1kSC8Fp8IsYJpY/qCoDs4LSusjol0JZurSph5GJmmgWh1jUNDQE1b7ngknsP3mZo\n3oHwnMY85Gr5QZ67H+Y6WVRIdMbi44LSAZ003iaUipjY3RCUPZJhlZYzANJ17/eiTDKs5KGfx6VW\nz/M8i4pGDEfIO6JHWYjLMcgO0GpNykAMcUsIoGRPKvD5IynXWsv19UIhp1+HI1Xj/Pw8P8x/mOia\nKqq0bdvqOt2UBz8ejTvLr5u6jiUppgTRhPr/dB5bK6PRKZt35Ht4EzgA1H3QWUoVHLMsCy8zGGR6\nZ+L27ds8uHc3iwyUXa8odTjnWFz2AYuI6n3mH3kXciKLaGuIweHcUrslkGnCkydPWK/XqGyN0vc9\nXSYNj2P+2ZnDtCyLAHXyWkBECpp8HGIdc4IUZWSQyGa1JgSXnZzXzM5hTN5LcoPz1zUIZSOSGnEm\niFnsWWUgTynoxCVBRsMCcNFikpuS7OhK0XADlVn4mKILK7yeUqAARO+xVqYqurF5HSDTlaurKy5f\nPCPGyPMnLyqgZRzf5XS9YWo7klL0Q88wDMLlff6MJ0+ecv/uPVKEQOCDJx/UM1voAOt+IIZsn4Ni\nfXIKRHb7Me8/NfRiZYNbcOPMYAz7y2v+8a//I+Z55tmzF/zfv/M76KT58R//ccZlZj9NPH3x/EPn\nj49EIov5omhr0IXrUoRuM6TVOQeaWjmVhNckgemrlPDLQtc0hKRuVH0Cf/XBcxhnUpLgk1wgJo33\nspSf5xmVZXusbmQUlTlhdbRRWmwlKtTBBy5fblmtBxIypnGhIBI1UcPiJMiXpffiPTHJeFOphAF8\nENsV6YYsKml8cjRacdIZtIp0euGXf+nn+fwP/wCdSXQWTCvXyygJtNEnNAvzYSYExzzmitE0EGDy\nC9EnoTfYI5dDiNwQsySQ8NiyFYWRBPrBBx9wcSE7o9Y2MpePnmkRLcYYwcdI17Rogyh35IB6dnZW\nUXklgck9XJjnEaUEZiwAEkmOQ7cSwdf4kvXK8Ynzb8P8FvFg2IYHbOevch1OOChH13qCGtgp6Tbi\nHHCzLPmVFkNMrakq9kpJQk5RSL4pqSpOa5sWv92y34+vGFPK7nbPkxfPmaaJk5MTHty7l6+fjMlK\nBy/cHVV3vvM8y06x7+iblqbrhDQdRYVexlU5kOaRTlG/mOdZHKZdR9e1OeFblI5VEd36rHeXA3F3\nciLQ/whdBoOUQJqSgaxYISCrnKwag8mjvDZmaxrsEQSRCxuVnwGXk/nj9x5X7qDRGm0NKnsK9n3P\nB0+esh5WnJyd8uTZU+7cucM7772LUorz0xOp9PP1LaoREhMC6AQzpODp+xXkhOm9kP1ba8RGKCWM\naUhGlOaLlJdWiqV0+krEvw+z7LyVrNAJXgoRozTFA8+Ydf3c5TqBXDZtreiacnSh1jrz/FTZeWmG\nvscFGffNy4JTSpQwcme8uKMSh1KJxcs+zupj3JKiY8C5JSdAzeFwpBq1naVo+pev11pjiIQgIr3T\nNHHr/JxvPXvGs2fPWA+3OLslbvNNBn6cnGy43F6z3V7XlU3TtDx48CCPUXveeust3LIwDANXV1ec\nnZ1xfucW025P33VCM1oW5lHe61UQ1aSmbYXInyds1lrGceTy8or9JMkuROgH0V785nffkufGBRb3\nr5iyh1aaxUf6xmJ1U5efIQRUa1lSAKtRgdw+C0Rcxo8Ka1umZSbFRNeYrEvWAzrbhidS0jifaJNm\n8QnSUYQ1YfABgndZQVqETssuKQSFMh0xhEqo1dlQER1ZXCT4HPh9AWPA5Is1eoPRGqsVHnCzw/kM\nf04BY1u0Ngx9hx9HeqtpTjpWreWXfvHn+NKPfJ407SXxqYTRopeGTjRtlzsEQdJ1ubJrhzO0vSFO\nmxJN6iuEWGUblxIURPtM/iwk0JKQF7qu4f6d26/cM5c7B2MUbnEorej7VoKZFvCHFBNyv6xt666i\nJEvnAlE1qGVm3Q8k3QpvzXZYdc06OO6urrg4+S4sT3D0vFwecjl/hpfzCoyoehwOEeeu888X0Enp\n8GIQ5X5jDFFluH+KNH1HY1si0mGu1mvI41GxK4kZBZgNNK3FalN3h5vNpkqFyX05SkglQWnUMZrt\nWjZdi80dr83jMO9FQuz0/LwmL6uP174UGl3biP+W1mgl36+M0CO0MRgR8Kw/d5nHqixuFk3TtcxO\nuktlTNaBVdXeR0ZvWfpLa2hEty/ljqGcIUnYEjSNUqz6nmHV4byMoxKa7WGhtZqTkxP5DG2LaqQY\nOj8/J8aYJZ1sVm7JwJvcXZbRakyxJk1tOpwL9F3HkDuu3W7H7DwvLq+EaIxnmoQkTRCRXB9uBHgS\nRiM8ykA+K7LzQh0tYkAU79UNS5iQR/JuL1SCIVMfStddR+hJeHtKGQrg7qb2ZErSkReEY/nsMXNj\nQwifyxkPAAAgAElEQVQs8Sgb54NnHC9z8e5YlsjV1RXrkw2bzYZtXoOIN5x0bi9fvmRZZG92fioJ\nq18NfOKTn+TNL3yB7eWBZZm5++A+0yQjwu99/21Z32jNyYkgu0VQeJGplHcMm4b7jz4BUegOEHHj\nDtOYCgA6PT1lvbp4BVS02+2ISdTtLzO3F2BZAl07CA5icYQEtu243I3ow0ynLUO//tA55CORyBJk\nYINChVgVHspBgrLEPgqmlkMR8z5H2OAiyWSzWrMQWeXnxSgGeeMiqKNGSwJYnKeL0PUr9octyyLk\n6N1uS9e0xCQipSoKWEM8vaCMI1JULLNo5S0hL70znD5l6ZW26Ug6+xIhUP++MzRWxqKdUmgdMW7E\nKMdP/8RX+Lmf/VmMFkh83F3igzxEIdMPVPC4JKoSMUbats9k8AaTrRbmZcFY9co1hIy4m2b6vq0O\n1uJgq7m6umI1bOrYIkaPNMMKY4vKuq4q4imFym8iiYxSWWAXZGcIiWla6nqgdGYpiWhETAaftSat\nSph4ySY+5+GtD1gN3yOlS+bxHh+8uMe1+xg7PTAmz8bY6mNVzkshIQN5dGlIShJr0wj6tO9k5+AW\nsbfYXu9EicQYnj9/zpMnzzg5O+Nu9n8rArCXl5ckJWodfb9Ca5sLgxsCvLk4SCEIEMG7WrVXnl2e\nJhhjMOqo/CKBzdX3X8bj3h8Jv8NK9jTJC3w9JaEmpJSIOtX3USYNypQOQtPYpgaZJUbOzs7qeShF\nTDGMXIKvXUrdG1bZqSOZ+PXXXyclIfI75zhThnncV2J2ZwzPnj2roI179x7QWg0MLNPMsrS1Gy0/\nN8YoJqNkfc5U1G6O0kdN03B6eirgo8OBx48fY/ueIRd2dS+b4MGDB6J6EiMqWbQR3UQ6QR+G6Gsh\nUe5PURIpnxOgXa9FSmkaa5FxEz5/JJm72h3JfVb1rMzzzMnJiXQvzuGynmXpRJM6Xl+ZUslouu0l\nvq02a5Zp5td+8//i+vqaT73+cd544w3QmrOLCy5u3673tNVSXBXn+BgC6/Uqc7Vm9vs96/Wa09NT\npmXKcaStMl/j6Op50gZePr+ksw0xF8NN31dHACFbJ9577z1WqxXr9Zr1el1pOs45zm7dqlOG/WFi\nv90d1xYpEXxi9jKhGZW+UVz86a+PRCIrVWzZz9iuFYO+/CpoqeDDK4dGDj95rGEJEeZlwqjAarWq\nVW/SssRPikoEtE0L3rMEqYqL/UJIidZIoF68ICXLAY91ZAkgwbm8lmxC6DNH6MiHMnjkgUnaYpLs\nNnWmTTedZdMZPv6x+/y1X/gr3L9zi76JxDgRnGOaJ1ZDj22OKMp5mUihJRmNd46m6eq/d3V1oG1b\n9mPZ3wkCsVzH8oD3XVM7jbLjiDEy9Ov6gNadZUwZdZ4LghiJXh7WYeiAfJ1jVhzPQAcJ6lLNirVI\nS4FaFzUQo2ZCMqhmIIYJ5w6c95d8+uFLDN+E4NnuL/jg8h675QeYzS2ijjRJKkGBtMu1VwlQkb6X\nnYwmj08b8bKqZybKTnVRYrt+cnLG5fXL6pZgW4Euf/DkSe5yhRN0dXXFZz77Wc7Pb9VrU1Qpbiop\nRBK3zi8I6ahWT4gs2aS0BGYZ7VGLMoCQ/bhKIihqEQEZQcedaOgJNL3Ju8xYaQ7l55YCpQTIcCMo\nbE5WPH38LKtQiG+fAvQNpK6G3GX3TNkv7Oa47UhkPz6P1loO01SVM0qgfHDvHi+ur5iWma99/Z9z\n++IWr732iFW3wjaSLNUNOozsg2z+bLYGups7Op0RgAVsEWOk6wdWqxXX19eVQ2W14d133xXhgiah\nKvqyqWabJQaV6y074uM+Ep0thogYaxj0EVADR2APHK1wSidWAnVRCVFK8ezZM5JSbLfbOh6et1sZ\nO94AAGmt6QZdd8fjOPL1r3+dwbb86Je/khGI8m8FQi2Givluu95I1z8vNHUsne+x1jx69ADnHKvV\nhu1uJxzDw4Fbt25hrKrmvodig+UT5yendE0HBgji7l30P9GK87MzElSrGIkDuhbhKXs5DsOQUeqB\npmtxk/BwlTZZjKGlsx8+PX0kJKr6fkgf/8ynOd2cQDiOcupB4iglAzLvLg/pYTcRo8/7CNF98zFi\nM9IpxkgZtUZ1o7rKopRlkTqOY1W+X+ZRFriNwXlTbdm1FmPOAstW+oggS7VS1VWNwsdYg+eqbYgp\nYOJEmCe++qXP85Uvf5HXHj3g3vkpKTpMiqToSfqYvOWHJxqFIIvGEYDT8zNCSBUtWIRbTXMETzTN\nEbEFUuEX9FLwU334yvteskfVzeq4jKuASoBclgWd7TYE9ehzYBMCcHlJYs8jLQwgRPACtTdWEWND\noy29grX9gIcXC2erf0aK3yf4W7zYf4YXhwuu4x2W0GLbBk0iLeDUkRLRZAfptrN1V5SCnJN+2NT7\nLonYV5ULl5NgJPH06VM2p+e1e3j77bfrw39T3byoZJTgXa//aqjnaVkWyOCO1srXn2wuamKpXVl7\n1A8spPabkksFgi7XOu9AtPDVyn0unDNSrD9/WZbqwq2Uyh5bEmj3+z1KKb72ta/x2R/4wfycHdUt\nbv77cu+L07rctwo+qFJPup6l7X4PuYCE/JzaBtUIUGs/HiBpdvtrhq7ndL1hf9hycXYu49oU6jUu\nCV9rXZXfy9+rbP65zDPb7bYmsqLbeXHntnSm41y7p5IcilzT22+/zYMHD2i7pu7J/3CCXpZFlPOV\nEqK/EiHoI4L0SFEoe/SScEsn4pysLJ49e8bzly85HA7cu3ePu3fv8vTp0woKstbWzvb+/ft5HHtL\nYk3+mVpr+tbmTkvUMZqmoyjQl+fZWpt1FX09X/v9/li8FB3LbEg7uwWtbC1kxHpJrtc4jhwOE25e\nMJiM4pX9e9LHGC173eO/V+gS5c8YQ/BZqUfJ8xlCYD8ecD7y4nKLbQXjkFLi3Xff5df+4T/4UBJV\nH4lE1vV9eu1Tn6IxFjEyOSacmzdQpfx3mQCqG8t0NWKMwmakYkqJKRtQHhNZ5tHorKKAwvsjBLq8\nlG0wGV6boix0Yzr+3KQFInxzpl46D+ruzB7hvo0c8MZoWi0d2M/+5Z/kp//iXyAuM1pFghvprRGo\nat8KKVplU8kk+xetFNa0tTossHe3LFhtqpgxiKM0kE0BXQ1OZUxSRyg3BGZBxn8+HD2eyPfApEhE\nH91ataqcoZvoOQk4toIV6o4tLJAKaqvszmRM2XUdSQWG6NiYHQ/PvknDt8AElt0Zz68fsQw/xLXa\nEIMCFUC14tzt5qrP13UdrW3QJo9jSkdppDDxQVRRUh4Lez+JFlxOZiVBuxgqEfNwOPD2u+9g8n29\ne/euVMaLFDnjOGKNdHpCoE7Mbqk8I++l4yQmTC4q3JILnMKVHEfWp0dggTGGmL+v/Or7XtRBbCbA\nGi0K8hnlW75OUKXHzqUkgMpdLMT/lFBI5/Gbv/mbfOVHvwpGY7gx8o2xahzKNTvyuUq3UDuBUGTi\nsjec1gTnKnhjdy2eXG3f0diO6/2Bpm3Fh8wYYvS88/3vcXZyyp1btzm7OH2FR1USedd1VZzYGPMK\nP458P4rdy5MnT4h5ZHvSr9jv95yfn2OtzfsdavEh50NGaCWZLFnXscSPEo9KISziBnm9cUN84ibH\nr+xHy17YZG+efVY+KYVP13WkEBlHgczvdjs2m00FSIWoj6CeUtz7Q41lh1H2U36RnfvFxQXn5+dV\nouomvcPWnVzER+o9TSlQ7KGNFs4uKTuYGyDpbPbrST4xz47DQd6DygT+3GO8sguccmGgdMK7yG6U\nkWyR7mrbXq6Fk/H4HKRLfevttzMIxvD3/9f/5V8drUWjDZv1aX6gNI3SmNYeM3mINaDIOCbValif\nHBFZtpH5eDtkqHBWJFMhElPEKsscvJhVZm04nY6w264V757dThJDcJ6QHC7katX0UmkYgSajhRPW\noElaIMEaeTDW6wEbF9CeL735Of7aL/w8Z6cbDttnMG+xWrodZxRaUR1elQ5oo1FWMWQLcpUh8gU+\nXURCu5VAoDebFSFFnBNUpgQBIBtPlutzs0IsD12prIScOmNt0TQUmK9oHHoW72rHqpSqCMfGdKQY\nsiaj8K9iSkw3bMrn+VDRSSnJiPYwTbz/+G2u3/4Of+7zFzx6tGD175OCJnnDB1evMZlPcVgsUYGy\nFq1b/HKsFLvhWEnPo3RA8zyKeG8vxGsJLKK6oBTs97vskjtyeXkpChf9gI6JzrZ1hv/sxXOIiskJ\n8uzk5IyXL19mgqigyVRMRCddZ5GjkhG1IUYJGjpBDJ6wm2pgCzl5ugS73UEU8gOMyyGrbvQoXYR9\nFXP0xGmpSbCMKiWZmCoS++Bjj6Rw0gbybiRlF3CldUYyJpTRhACbzTnBK0gFIi4i2TEmEj5DzBU2\n32+jhLStEXRdSEcUqgaISTrjVqGM3JeLWx2H/Z7Fj1xfzyQtE47D4UCIjnmcZAfYWHSr62ixzbqV\nQmkJhGlknueakJIGboA5rBV7H2MMf+bPfKae73G35+6d25jG1uRaknzhqtqmxRhd9zyFyuC9r/Y5\nqEjyImeWgjhsa61ZZV5rIYmrJOTypsnWPZ1ouJLFm9ebgUZvBCiSC2wNnJ6ecnJy8gpNoqxGgp8w\nGgIxE8ATzgnSuR16TNMRosO7yBITj58+A2DVDzV5W6VJyH3ROtHUVY483wSPMuJg3bYtIcvhBR+w\nVoBcIPGvHXrWp0Kh+MNj55SS6LHaltWwzlw3z8jIWllCQpClSs5hBJqu5Q++8S2WOfC9t79PN6yE\nh6Y+fHr6SCSyGCOH/V5QY0kqB7IrbspK1jY/LKWN11YC9DjLCKNWTyEI9yuPPaQqVbS5ois6edYY\nrGkwuZIosH6ahmGzFjht39I3DStEWmq/HxmGNZOfZdfVtcQYsChWfUejDW6ZuH1xl81mxV/9ub/E\nZz71CV4+fUrLQpiuUXg2/Yrt9ppUAQAZ+ZYDTJ9dhysUPgevMhYq44aQFnBHySq5Bscu82a3WURV\njRHx2zJygOOM/yZXqSS+ppHkddPx9ebBlTFTypBni3NLlfo5dndSpUYFc9jz4ukVjJ5HtyJf/rHb\nfPzBC1i+A8pymB7xfLvhYD7NPp2gmoGkGtxyqEoXRdXCx8B2u5XkPEsyGYYVYgUigIOUUlXhjyEx\njnteXl3z+PFjHj58SEpJkF75eszZYme/H5nHiXEc6bqOb3zjG9XCve9XOalTBVoPs4xqv/3d78h7\n1JbNZoObZi4uLujaFqU1Xd/nAk3cyhWJ+ZCVPVACClpmUhIour2h2BEyiETOdeF26eriW0iky+Iw\nJgrpNxxtgpqmQQHLOLJZn9Xu/DhGzA7d+uakQaFQNFp8o1TWckQrdAi12lcpW1olX89ia0THc1it\nWHaOYdMTI8yLA5MFuvsVt9e3cSHwrW99h77t+OIXvygAiQw+KBJvFVQk7nSvKKk0bUso42J3nMic\nn5+yZNUcqw0h78grqGVZmJa5+rIFoGt72rZBV3SpA+KNMb3KI9hQd0Q3gR9lz5WS7JZFvUSeK6MN\njc3dZF6jlGu+3gyyQ6Lss49EdBH8XXjx4gW2kYR/Mkh3GaximqAZBG368tlzhlVRLLL12W60QTdH\ne5ySKJvGZhRmQCkraj+mq2PY474/vRInRN7NvjJSneYZ27QsaWHM8mAhKZIyNI2hsyYnRYnXz549\nY5qlQ1184jOf+QwhQdv0dbf/YV4fjdFi16fXP/NZYhDScvJivw7HVt57X1UTlD7Ozl047kkSBXEk\n1aTKSKHi9KqUyLrIHixDtNXRFHG+4UNmW0mERcMtaVXVLVJUNAraviWGmZVt2QyaX/i3fpYvfO4N\n1kPL9fZK/K7GUbTrkvCtplxZl6QiiukenSuV89u36Id1Hd15L+ixV60qZJzYtTekhzJJE442DuUh\nKN9Xkn05iD5LM0HZk8V68OvoJRVS99FH6ObO7JjUYlUxiEmhs6hr2RG2bcsyK2Ia0WGiX97ljdff\noTXvA88gbfjg5V0eb18D8wkms0b1oj4y7w/M43T0p8oBtKghFA+mco/LZyvBpQBaYoxsr3d4VAVr\nFBXu/5+6N4u1NMvy+n57f+OZ7xxjRkRGZmVlVnXT3TX23K3GDMYG2Q3GfkICLF4sbPnBdpsXI2HJ\n+MFGfkVIlh88gGVhYwxdTdMuXN3lrsZAzVlZWTlHxI0bdzrzN+/th7X3/s5tMC6kfiCvlMqsqBv3\nnvOdPaz1X//BFwpN07Heblgu1ljH7BNoJwrCcT+4D9Wn6x6smxVprdk67VgUReC6VyJFXTeYjqAn\n0sbLISQBuHXQqyfQjMfjUKVHbvbmD3X/2XprrzjNg3+nUYa6aWjcRTsajVgul7RdR6IkYuf6asHd\nu3fJR0OZddretWT3cPKIhXSBLbH3TXSs28iRmQSy6kR470kLrTyny/klV1dzEcoOhJRhnDuPdSLz\nNJJkiMViwS/83M/38H3k15pAsmmaQhShHKkqcqSe4LMYLgfNMMvD+7DWir8CPcEswMqNiK7n19fk\n2SB4YFaVmI3rSMYH/mDXuncE8WzX8XgsKEXWk686Z4YQ6764NOHZOsaeFsuyDsswGbi1K+GXrTXB\nlcivu85KobhaCKnl8PCQwXDKYDCgaVqiNGa9XpJGouUrq634mDp40heZviOL06gvUhH94sAnViOJ\nzZPJhK5p3XyxDgxx6xId1us1w+GQy8XC+bAm/QxV+WDZLBRVnVG89dZbzOdzttstx8fHJNmIg6ND\n0DHL5Zqqqvif/5f/6eMzI0uzzN6//wisj7aPUXFE6ujVRsklZY2nKYtWUmkr8xLjtBR+NuM6isYd\nAK3p2U5hg3kRsDvMBe/uwiEeWEdKjHmlsxNoJlUR2nSkmeLRw3v8O3/8l7l9NGWzXrA3HVNXBQaJ\nZE+0InauBbFWRCRsHH03vP9U0oHTNEXFUXAECZCp7udb8m8npKSnrQoZpRfw+oPIH0L+st/9Ob5A\n8DBtHMtl5w1mvQFtqM7pCwv/tTtPs6albQytEahKGFHD8PN0V2OrK/ayc157UBCr72DbFKKWq8Ue\nH16/zLy4jY5jBpMJ66KWyB1tUSamcQGGcgkoVNSTPHYvMD8z9E4i3tW+rmtxjXDm0f4gAjBolssl\n84XQ7MuyYpgPZIOlcYCK/EXmD+3dosBX00ppVtuNuxibMIvYbEV07W2JjDFgG/an+yKcrSpGg5zB\nUMxoq6oK3RYQrIU8ZGatJYpVIADlwyGmbbl9+zZRKmzEfs9oKgeBtU1DohPefed9Hj16xHg2JcsS\n0qw/5BQRrWluVN+m6+g6XyDEYV15hxqNcqYChOctbGOL0S3z6zWr1Yb1ZoNOYrI4Fbabsk64LXvT\n0+qnE6Fwl3VFXdeMx8NASol8woAreBMdgZude/QBIFXO1Ne9D3yx5c6DthUPTC9zWK9WaCVrxsP5\nIMjCZrORIqUsSNN8Z9/EOxecdunODo3QYv5t3XOTuamDPeuify3KJVe0gmwkO6QpgG0llnll1RDF\nNtj0JUlCW9csNlv3zPYk7dsVSrEbyZTVFhC4UR6DZ4or0Janp6dMp1NHuFG0tfy8yWQixsKbDcpK\nUVq4Od/19TXbbRnOA601yhWbXkOmVUyUCLw6HE0wxnB29oKziyXX19dEsWJvOuOll14iSmLy4Zjr\nxZwXZxe0TcPf/jv/2+/djEwptQf8NeBHkDvlzwBvAX8deAS8D/xJa+21+/7/FPiziNvdv2+t/dI/\n7+fnec4bb3yKrpVLLIoiGtNBZ1iv15S15ELJoLJF4QaYShHHEZvFAj0UP8O26zBdE/BtcezwPoXK\nhcUJA6uqGgZZHweROC2adEGuA1MKFSkiDamOKcste9OIP/IH/zC/8Is/TbG6Jtea1Fbk4xRra5II\nms6ilababFhXJY8fvERT1xgdMU0TZyfkLKNMc4Pt1Di3Ac9+066q7D8PoeNqlLuIYtrO0HVFyL/a\n7bwCi8kRQoCQ7OuJIH7D+kXo/7lBtvGwru7nlX4GB6CISDLxTTN05INUaLyF6EVydc7dvS339j8g\nNu+DGmAjy8V8zMXVq9TRS4yOR9guZ7VYCIS3P6Bji+5kZlG34ojg4Zhd5qCYp7bs7R24jlTyqdpW\nDkJrPBtOZkur1SocQmVtwmUSxwnjcQKuABJMf+jcTEz4LPwh1rbCgmtqEbfWtcTOt23LcrkMhJTz\ny6tQJEUOHuqaluv5MhiuXlspbNqukUs0ydCxE3ezExXf2QAF7e8dst6I2HQ2m1GWWxIyFB2x1Shj\nIXIHTRyRxylNVXN0dEQ2HGCt4uLFCzLH3pMuNqWzHaVLL67rmiywVA1RBLjDMHFdXN02aCMXvWfi\ndV1H3TWkSjMdD1ksFuTew880xElEnogQ3hjDZG8mhth5jrWKoqiIHIQVRZKntdmsoZSwWS9PMIpw\nQfhDXB6UOI8qK7M9HfUpxcFqTAkzbzwe0TUdl5eXXFxc0TQNk8mEW7duMRrFTKbScRlcdpnpYXif\nEKGUorO9O4tWkrXnbao8CgSQaAluVbEzZrYITyCKaOsmdIXGtiHwM8syOjrimBAGLJf/kOFwzDs/\n+IAOS1GUjEbDQPzwYnNPNPF7OssGZKOcR48eu0uqxNu4eRmDXG6W7WazoymEJMmIIimQA7nIISD+\nXIh0wmqzBjreeffbXC9WEu2UDNkUJT/2Yz9GGsW0neXy6oI4W7J0YaKd+eGbrB+qI1NK/XfAV6y1\nf00plQJD4C8AV9bav6yU+hVg31r7nyilPgX8j8AXgLvArwOvWc+r/Wd85fnQ3n/whou/UGKt4xJL\n86FQaqM0wTRt6CA8LObbf3+oFkVB7DQTTdMQK83J7TuSbaSga1pHyrAkSSoBms6VQhMJMw6p5Lp6\nQz4Y0LUVD166wxuvvczzZ0/42Z/6LJPRgK6tSXREVZQMhj1t2c/mcINxH3wnsEAb8PvdZ+8hna7r\naDt3cLnZgHdhMEYiHXw8vRADhmEu4GEnf7B7jQ2qh16SRFhJqWv7PWsvyzJa4yDazoT/D9v1dHZr\nqQqh3geyjbsYrI2kko08801jtYHWEtcbZoMFnzz5EJ18H2W20Cmq7oRn2we0vEIb3aYwUJUdkWOg\npm74bDs/98h2oC4TIGOBgAnduJ+teoy/7YQhWJQVUZQEy63O+qRrHUT4RSGkAonuyTnY26eqS4bD\nnNlkhFW9e0drBPoNpsBWZgSdY6HFccx8uQ7dsL8Uu67j/v37DhkwPH/+XKJW4kR6cWtDEvS9+3ex\nqOBPWBRbUJKx5987GBLX9WUOJrV0xElCZAXGLOoqHDZNayg24upwfHyLqqlJ0CwX4grxwUcf8tJL\nL5G5GUU+SENXHccRppb3k7ukb/88Opd47DtQ/2VV7+HZlLJOC+eVOhmO3Hq1bMoNbWucq4jApx6l\n0BjZS1lKUUhHFytNpBxBJNLE0e6Mzx2kLlEdV/RlSRr2Xms65/V3wdHREefn5xRF4faw4upyLtKZ\nQUbb1ozHUw4ODhiOR30B5Nwx/CUlLhuOUBKL+fe2qYhVjHXQqC8Gc5e2Eccpm6KgLEtxyBiPyYdD\nVivputfrtXsWMdkgDyxZL+/w50ZVC1R7fn5BOsi5vr4WN/ytkK1u375NnkaMRiPSOJIoq8ZQdxI6\naq0NFlTD4SAUIv7i63ao9X49+07U78u6NaAjN/ZpKTZb3nn3A+bzOXULbWdRccKDB/fDGEKByK66\nFh+qut7I6/nSl364juz/9yJTSs2ArwOP7c43K6XeAn7RWnuqlLoDfNla+0nXjWGt/S/c930J+IvW\n2v/7/+t3ZNnA3nnpNbcxZaYVoKJdH0Z6iNBvmKIowsL0//iHGggJrRtIR/2F4DemQtO5RNw8Soli\nQ1sWmLbj4f1j/uAf+P08fviQOLJENOLvpsQ1XiOwX+zYbv5D9gsizTPxdFOKqhAywGK1ZDab0TSN\nOEUnSbCr8QeCchChcg4dtu0wXcfe3h6Xl2Kk6ZN3/fv1F4u/mHxF2DQNhj4uxXd50/EszI88hOi/\nz8N1MuMoMVbd2IDemzBNHf08GgAGpY3AfUlCR4fqDGM0g/Ypd4/PSOKvo9QWKkvLbc43n2WT3KW1\ne1wuS1SqSOMswFVp5uZ3gZ3Wv9/dobNnt/mLDMCank7uYZCqqtgWDav1ApCLbrHaAJrGEQLKsgxa\nuyzLGA6HTKZjhsPcCXd7CNoqzWazIU+FCONnZG0rB0NRFDRdT5wpt3LoKa/TUyJAL8uS1WrFcDik\nM0Kjnk6naAuXlxf4tOPj42O22w2HR/ts1xum06nbP4kjOZmQPRa5Kj91f7d1OsgoFi/P58+fMxmN\nmO3vyxxoOBSdUKSYL1dcXV0F7VM6SDk6FvNf2pY0kYPeWkvrGLRycEdiEUWfGGGMwXoz3U4EsdKl\nGYxpKcua8WDo5oPtTmddgysIojRhfzZhOp4wHA57xpuRUNx+3mNJUh0gcmHdOvaos4DykJ2xwn5O\n8gxlZC53cXHBer0GYLFYMZvuS8fdVIEsI8VCztHRkStIPTFjB25XAkOutwVxmqLjiOvrBbOJOObk\nec7Z2Rl5GrvA0xEq6uNqfPZZ0zQhRcAXq9uyoCiqEMsSucicbVlIEOy2wmpFVfVFbZIk1E0j3dVk\nxHg4YJjnxJGLojG9sbJoxrbM9ib/lNyibUyQLPg5bV3UfbJElmFjcf+XYNA1X/va1zg4OORqvmT/\n8IjJeIaKE5l7Rinz5QLbGbqmA63CmVQ6DsOv/ur/+nsGLb4MnAP/rVLqx4B/BPwHwC1r7an7nufA\nLfff94Df3vn7T9yf3fhSSv054M+BhDt2XQeRdqwsYVwliWQNyYC0Idq5sJRSNHVF07WSOuvFikoG\nal3XBUW+cotYdbiIe0PphJJpolCdJbYW3RVUxZJf+Nmf4Sd+9Ec5OpwIxXR7zeH+jKsX5xweiBaz\nJn8AACAASURBVKhVOeZUUVRAFWA7/6EnSYJqhIUpuLml2G4DrLLdbv+pwzjUCa6baCuBpvYmUyId\ns1quSRNhI1lDnwMFgZrt//GXtWzo/r9Tp+GJVBzmQ6GiUgmdaQLry1fZWKEq53nuWHoDZrNZWMxG\npejIijavU2gbM9aKwbhlHD1hNjpH2/dRbYa1Qyq9z6L+BNf5j4i4NErJB06sWtYoJSGVwqgSn0Ep\nSvQNKKepW7Rjt2oc1d46lwz3bJfLZci5qxqZn/mioW2MSyWOsSOJoJjuzQK+n2UZ0+mUNGiWDLE7\ncLZFQZYNyFPpeqMkBus88tref6/ppHodjUbEWijeeea0ie5QHY1GrNdrVqsVo/GANE0DG66oKxIt\nTjVXV1cyW9lWHDorIilm+gNnsVjQdR1HxwehC9dak6V9d66J2K7X7M9mKDdzvLq6Ik8T6toymUxE\nDuNiSpbrNVdXc7quYTYakSYRWTYgUtpBgD370RdTnnAkyESvB/WaQqG/Z1irmK+WDLuWLBZfykAu\niTTj2ZTlcsl3vv0mOoJXXnmFpqqZ7s0CEQcbSWp8W7kgU/FZFVZpc4PApJyZQuMy0dq2JYvF7ury\n8pLNZuNg947N5glYzd07d4giaBop9ObXS7DCFp1MvcsHQZ4SOU1dNhgCoh0zxnB1JdDy/fv3eeml\nl9BI8O9yuWTgMhb9HkuS9gajVCkpkkWnKEXC5eUleS7svizLJKl+ZhxxpeXqck5RlVjEHF2piKpu\nKLal2HX580cJnLybaXbx7nW4QH2BnaWDXlNrLZaYPO/1unVXAxnX8zn/4De/wosXL3h47yEvLuas\n12t+7Cc+Q+WYnraFwpFWlNI0nSHRXqu4s15+yK8f5iKLgc8Af95a+zWl1H8D/MruN1hrrVLqX4g1\nYq39q8BfBUizgVVKvNSUjtBWYWxH07VhFuYr69ApdLLJtIqQvEKNcZW7vxwwSFJz1xInjpSAZZDK\nYtDKksaWxrb87Oc/zc//9E/y0v0T1qu5TPdUzSAfomxH2xQcHuxjO+dvSOcuh5jOGC6uLtnf3ydK\nYpIsDblF3mnAXw7G4c+D0dDhwCbM/9I0dSnEfZYSuPw0R/Dw7bxnYHnyha+IdqFN/7yiKArwhK+o\nlO1nXh4qmE6naCI2dREoyXVZkMQxSmum0z2iJA0L2b+2dJDTdaLBWV0vmI40g6MDMvWC2eA7RM37\n0G7BpCy3j1i1r1NGr1HFFdoo6GrnSylmxmCkSutsiG6Xzdu4C01RbIURaI3YCYX5ner1LGFWGCeM\n8gGoAh3nO44nivVmy3K53Mm/k+r85OSEo4NDgW5t72hhXZWapymxYyuqSCBM0/UMUXCXVyrZdvP5\nnGEusFjn5l+r1Yqhk4OMx2Our69lk7uL4dmzZ8xm0nVJ3MsSgNlsGjpsa2UmlyUJZdtRlltGoxHP\nT19w7/4dVoVc3Pv7+ztMuiaIbKMocpZiOyxaRM6BNYEwUznouqpKlMqwVEzH0/CsgRvrbfcADP6X\nStiNRBqNZrlcMF8uKIuaDz/8kB//0d9HUVSu4MrD39/bOyDLBiyXc1bLjRCIkpxtWYPLcItdfpyO\nRLw7GHjpRRLWaxRFoHBzVktby2usjUC5ntRwfHzM/fv3SdOctjGcPnvGcJiTOxatL6wCW9VKpFPn\nvFZ1JKkUjo7l1kFG5ATVnvHnC979w0MpPvGzNek4lZvd+y4uywbiwBE7NuVoKpq8TYmxLflwLJ+n\nEVOAW3duUzjIsm1bJ6q3VFaK1eVyLvNfnd4oauWityH/zX/VtYddQWsJFy7rJsyAt0XBN7/5Df7J\nN7/BJz/5Se7df8Tx4RFt5xCqJGe1uXZC64SqrjDGEmlNpJOwX43pkxx+2K8fBlq8Dfy2tfaR+98/\nh1xkr/J7BC2m2cAe3XlFLqu2BhsF5w2rAO1mPE3/YHdva4/9+68oiWkqSWv1cTDWMY9s2xBHiscP\n7vOv/P5f4MG9IybDhK4tSYiZTXIuLl/w0YfP+OSnXhfaeFGSxRFZEmHajtbRZuMkkQUaRWHT+QPU\nd0b+cPSOD/57d4fNvmoOLglO+d45q6tivaEqqhvvO4qicDnvGtuenJxwdXXF4eFhmJGpqD/oPf02\nuKSo3qQ0iYQZiLaBedVVNabtGE8n5EPpXiKlw4YU6viQrtuAqZmkEXlywUnydbK0AN5DSDhHXG8+\nwTr6CS4tGJtAaam7DuviLmwHSdbPEkTzJlWt0jE68uxIhdYRGCVQtHbKIm2xnetuHXOuaRrKuqGo\nKjnghuMwy5jPF3KZbbdsNhsODw9ZLpfh87t355ZscGuothvSLEZZAntSK2HXKhcqiPV2YXU41DsH\ny242GyaD3Hk5JiFduK0Nw/GIxA3kV+sFq9UqMOQmwyFlKRTw+XzJwcEBT558SJZGHBwc8ODBA6JI\nkcYxxL5rLqnLijjRDEcjWvdacsfWNMawWa25c+decMlpmt4dQseJKxCkc/JwoVxOFp3EKGPpGkPs\n7LeUUi77rvcU9J1ZZ5Vk7BmDxklBooTV+hpj4N133uf46IhMx0z39tgUBUdHR3TWW6bFjpiU8OLs\njGpb0FrDaDx2HXPMZDRGWad1wgafwMOjI+e+Ip2D0oa2ERcPTM9arJzV1XQ6ZTabkaYp5+eXpEnu\nHEhMQFGU7pGBONmFNnfmt1b8AhcrIfu0KJRjR4oeMWMwGobLs21bWmuIDKS5zKnaumE8njq91jAQ\nwVr3ev1laBr5M4FkG7Jcvnc8nobPTkwAtljbsdkUFNuKqi5ojaHtCBZ3voiK4zTYgvnxQ6Ti0LH1\nxbl0UU+ePOHy8pJHjx7z8OFDmq5lMV+5ua5As57UopRAvk3XCk+hlb1kbD97i+IYpS1f+tX//feO\nfq+U+grw71pr31JK/UXA++tf7pA9Dqy1/7FS6tPA/0BP9vj7wCf+eWSPNMvt4d1XqYoSi7hD+Ndl\nd21hrLTY4EWG7pJymzHCpcUORcynbEdTlozzTISsacS/+a//AX7xZ3+Wj977NkdHR+RZQu4qK3YY\nf9LeZzdei1Y9EcIz1tjRh3Rdc0Nz5fOs/OVhrQ3fv7vZq7IJf+YvO/+ey7KkLAqwfX6Yt70ZDAZh\nVpY6R3dP+1VKkexYU3k4x/9dX4El7rV578DtdiuLKEAxijzLiLVCOz0PSiQCAMbWKFuTqimZrkmq\nb/Ho3hnW/ABlS+gGtO2I883rXKrX6UhojZg4N/WWurHBF9DLByLloVITrJk8bGVVJCw8a9EqQule\nEF45SLXaFmFtWWv58MMPuXPvJVoj73tTFMznSxIds1qtWC4X1O7SS5xj+K1bdzg8mJEkUsUmO+zM\nzoq/4KbYEumELE05Ozvl6Ogo/F5ZQy1xlDjSSUtZC7R8dXXN+fm5HGZZzmQyoawr18l0rgjquL6W\n6nU4GRMrTRpnKGVJs4Q0GVAUGyEjjAaMx2OGY/F6HAzEjXy9XnLn+DYLx84cZBmREvusy8trDo+P\ngtYuShKKzSaIjjW94a1fh1IYSVhruKgdlC5hrb7grMOz8q7vxhh5jzpxQbIdlXOGaNuOuiixHSzX\nq9BlyjxMkQ5kljPMcjabjbBCy4L79x4EVl+e57zy8gPSOKGpCncYazcPngRxrd93/qsNLjY2kGxk\n3tcTxoxxF19H2CeeSFTVRZjrBTZfFBOnSWAL+vNjUxQO/dBslivSoZwhq/U2EIHausNY0Rt6osdo\nJMzJ4TCnbRsxFqjEvR7kM8jSAev1GqUUL15ciAQlzcNr2pYFrbVUZbMzfuhJZr4j92eDJ4+B5s6d\nO2Lp5mQQkZYud7lcUtUFWE3XWe7du892uwld5GQykbld1To9nQnaT7+2FFGAoI0bqaidbL9f+7W/\n9XtqUfXngf/eMRbfBf40YtfwN5RSfxb4APiT7gV+Ryn1N4DvAi3w7/3zLjH/psqyBAVY6Z78/eqr\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T6Fv29qfQmkDhDywlnzZNn4icRD2MYJzbRxT1WhFPPYVd+EsWXuNMQX21qbUmcZXk7qEN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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119c412e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.ndimage.measurements import label\n",
    "\n",
    "\n",
    "def find_cars(img, ystart, ystop, scale, svc, X_scaler, orient, pix_per_cell, cell_per_block, spatial_size, hist_bins):\n",
    "    \"\"\"\n",
    "    检测当前图像中的所有可能的汽车位置\n",
    "    \"\"\"\n",
    "    \n",
    "    boxs = []\n",
    "    draw_img = np.copy(img)\n",
    "    img = img.astype(np.float32)/255\n",
    "    \n",
    "    img_tosearch = img[ystart:ystop,:,:]\n",
    "    ctrans_tosearch = cv2.cvtColor(img_tosearch, cv2.COLOR_RGB2YCrCb)\n",
    "    if scale != 1:\n",
    "        imshape = ctrans_tosearch.shape\n",
    "        ctrans_tosearch = cv2.resize(ctrans_tosearch, (np.int(imshape[1]/scale), np.int(imshape[0]/scale)))\n",
    "        \n",
    "    ch1 = ctrans_tosearch[:,:,0]\n",
    "    ch2 = ctrans_tosearch[:,:,1]\n",
    "    ch3 = ctrans_tosearch[:,:,2]\n",
    "\n",
    "    # Define blocks and steps as above\n",
    "    nxblocks = (ch1.shape[1] // pix_per_cell) - cell_per_block + 1\n",
    "    nyblocks = (ch1.shape[0] // pix_per_cell) - cell_per_block + 1 \n",
    "    nfeat_per_block = orient*cell_per_block**2\n",
    "    \n",
    "    # 64 was the orginal sampling rate, with 8 cells and 8 pix per cell\n",
    "    window = 64\n",
    "    nblocks_per_window = (window // pix_per_cell) - cell_per_block + 1\n",
    "    cells_per_step = 2  # Instead of overlap, define how many cells to step\n",
    "    nxsteps = (nxblocks - nblocks_per_window) // cells_per_step + 1\n",
    "    nysteps = (nyblocks - nblocks_per_window) // cells_per_step + 1\n",
    "    \n",
    "    # Compute individual channel HOG features for the entire image\n",
    "    hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n",
    "    hog2 = get_hog_features(ch2, orient, pix_per_cell, cell_per_block, feature_vec=False)\n",
    "    hog3 = get_hog_features(ch3, orient, pix_per_cell, cell_per_block, feature_vec=False)\n",
    "    \n",
    "    for xb in range(nxsteps):\n",
    "        for yb in range(nysteps):\n",
    "            ypos = yb*cells_per_step\n",
    "            xpos = xb*cells_per_step\n",
    "            # Extract HOG for this patch\n",
    "            hog_feat1 = hog1[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel() \n",
    "            hog_feat2 = hog2[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel() \n",
    "            hog_feat3 = hog3[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel() \n",
    "            hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\n",
    "\n",
    "            xleft = xpos*pix_per_cell\n",
    "            ytop = ypos*pix_per_cell\n",
    "\n",
    "            # Extract the image patch\n",
    "            subimg = cv2.resize(ctrans_tosearch[ytop:ytop+window, xleft:xleft+window], (64,64))\n",
    "          \n",
    "            # Get color features\n",
    "            spatial_features = bin_spatial(subimg, size=spatial_size)\n",
    "            hist_features = color_hist(subimg, nbins=hist_bins)\n",
    "\n",
    "            # Scale features and make a prediction\n",
    "            test_features = X_scaler.transform(np.hstack((hist_features, spatial_features, hog_features)).reshape(1, -1))    \n",
    "            #test_features = X_scaler.transform(np.hstack((shape_feat, hist_feat)).reshape(1, -1))    \n",
    "            test_prediction = svc.predict(test_features)\n",
    "            if test_prediction == 1:\n",
    "                xbox_left = np.int(xleft*scale)\n",
    "                ytop_draw = np.int(ytop*scale)\n",
    "                win_draw = np.int(window*scale)\n",
    "                boxs.append([(xbox_left, ytop_draw+ystart),(xbox_left+win_draw,ytop_draw+win_draw+ystart)])\n",
    "    return boxs\n",
    "\n",
    "img = mpimg.imread(\"test_images/test1.jpg\")\n",
    "boxs = find_cars(img, 400, 600, 1, svm, X_scaler, 9, 8, 2, (32, 32), 32)\n",
    "# 创建热度图\n",
    "heatmap = np.zeros_like(img[:, :, :]).astype(np.float)\n",
    "for box in boxs:\n",
    "    heatmap[box[0][1]:box[1][1], box[0][0]:box[1][0], 0] += 1\n",
    "    \n",
    "heatmap[heatmap < 3] = 0\n",
    "labels = label(heatmap)\n",
    "for car_number in range(1, labels[1] + 1):\n",
    "    nonzero = (labels[0] == car_number).nonzero()\n",
    "    nonzeroy = np.array(nonzero[0])\n",
    "    nonzerox = np.array(nonzero[1])\n",
    "    bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\n",
    "    cv2.rectangle(img, bbox[0], bbox[1], (0, 0, 255), 6)\n",
    "    \n",
    "    \n",
    "fig,ax1 = plt.subplots(1, 1, figsize=(7, 12))\n",
    "ax1.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "box_center = []\n",
    "def detect_object(img):\n",
    "    \"\"\"\n",
    "    物体检测，缩放窗口的大小，对检测到的图像的两\n",
    "    \"\"\"\n",
    "    \n",
    "    bbox_list = []\n",
    "    # 分别对各个尺度的窗口查找汽车的位置\n",
    "    boxs = find_cars(img, 400, 656, 1.2, svm, X_scaler, 9, 8, 2, (32, 32), 32)\n",
    "    bbox_list = bbox_list + boxs\n",
    "    boxs = find_cars(img, 400, 600, 1, svm, X_scaler, 9, 8, 2, (32, 32), 32)\n",
    "    bbox_list = bbox_list + boxs\n",
    "    boxs = find_cars(img, 400, 500, 0.8, svm, X_scaler, 9, 8, 2, (32, 32), 32)\n",
    "    bbox_list = bbox_list + boxs\n",
    "    # 创建热度图\n",
    "    heatmap = np.zeros_like(img[:, :, 0]).astype(np.float)\n",
    "    for box in bbox_list:\n",
    "        heatmap[box[0][1]:box[1][1], box[0][0]:box[1][0]] += 1\n",
    "    # 排除掉出现频率小的汽车检测位置\n",
    "    heatmap[heatmap <=8] = 0\n",
    "    # 对汽车的位置进行标记，画矩形\n",
    "    labels = label(heatmap)\n",
    "    for car_number in range(1, labels[1] + 1):\n",
    "        nonzero = (labels[0] == car_number).nonzero()\n",
    "        nonzeroy = np.array(nonzero[0])\n",
    "        nonzerox = np.array(nonzero[1])\n",
    "        bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\n",
    "        if len(box_center) > 0:\n",
    "            for center in box_center:\n",
    "                if bbox[0][0]  < center[0] < bbox[1][0]  and bbox[0][1] < center[1] < bbox[1][1]:\n",
    "                    cv2.rectangle(img, bbox[0], bbox[1], (0, 0, 255), 6)\n",
    "                    break\n",
    "        box_center.append(((bbox[0][0]+bbox[1][0] )/2, (bbox[0][1] + bbox[1][1])/2))\n",
    "    return img"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.检测视频中的车辆"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] >>>> Building video project_video_output.mp4\n",
      "[MoviePy] Writing video project_video_output.mp4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 1260/1261 [1:04:09<00:02,  2.88s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] Done.\n",
      "[MoviePy] >>>> Video ready: project_video_output.mp4 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "from moviepy.editor import VideoFileClip\n",
    "\n",
    "clip1 = VideoFileClip(\"project_video.mp4\")\n",
    "white_clip = clip1.fl_image(detect_object)\n",
    "#white_clip.write_images_sequence(\"test_challenge/frame%2d.jpg\")\n",
    "white_clip.write_videofile(\"project_video_output.mp4\", audio=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<video width=\"960\" height=\"540\" controls>\n",
       "  <source src=\"project_video_output.mp4\">\n",
       "</video>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "HTML(\"\"\"\n",
    "<video width=\"960\" height=\"540\" controls>\n",
    "  <source src=\"{0}\">\n",
    "</video>\n",
    "\"\"\".format(\"project_video_output.mp4\"))"
   ]
  }
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